From 871da0bf456910f2c6facf3fa9c786ba82bb253e Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Mon, 7 Apr 2025 10:22:11 +0200 Subject: [PATCH 01/49] vad : add initial Voice Activity Detection (VAD) support This commit add support for Voice Activity Detection (VAD). When enabled this feature will process the audio input and detect speech segments. This information is then used to reduce the number of samples that need to be processed by whisper_full. This initial support is based on the Silero VAD model which needs to be converted to GGML format: ```console $ (venv) pip install silero-vad $ (venv) $ python models/convert-silero-vad-to-ggml.py --output models/silero.bin Saving GGML Silero-VAD model to models/silero-v5.1.2-ggml.bin ``` There is test the tests the VAD support in isolation: ```console $ cmake --build build --target test-vad && \ ctest -R ^test-vad$ --test-dir build -C Debug --output-on-failure -VV ``` And one that tests VAD in combination with whisper_full: ```console $ cmake --build build --target test-vad-full && \ ctest -R test-vad-full --test-dir build -C Debug --output-on-failure -VV ``` Resolves: https://github.com/ggml-org/whisper.cpp/issues/3003 --- include/whisper.h | 82 ++ models/convert-silero-vad-to-ggml.py | 196 ++++ models/for-tests-silero-v5.1.2-ggml.bin | Bin 0 -> 885098 bytes src/whisper-arch.h | 56 + src/whisper.cpp | 1300 ++++++++++++++++++++++- tests/CMakeLists.txt | 18 + tests/test-vad-full.cpp | 52 + tests/test-vad.cpp | 88 ++ 8 files changed, 1787 insertions(+), 5 deletions(-) create mode 100644 models/convert-silero-vad-to-ggml.py create mode 100644 models/for-tests-silero-v5.1.2-ggml.bin create mode 100644 tests/test-vad-full.cpp create mode 100644 tests/test-vad.cpp diff --git a/include/whisper.h b/include/whisper.h index 1e1375033ad..dce75e1b731 100644 --- a/include/whisper.h +++ b/include/whisper.h @@ -570,6 +570,17 @@ extern "C" { size_t n_grammar_rules; size_t i_start_rule; float grammar_penalty; + + // Voice Activity Detection (VAD) params + bool vad; // Enable VAD + const char * vad_model_path; // Path to VAD model + float vad_threshold; // Probability threshold to consider as speech. + int vad_min_speech_duration_ms; // Min duration for a valid speech segment. + int vad_min_silence_duration_ms; // Min silence duration to consider speech as ended. + float vad_max_speech_duration_s; // Max duration of a speech segment before forcing a break. + int vad_speech_pad_ms; // Padding added before and after speech segments. + int vad_window_size_samples; // Number of audio samples in each probability window. + float vad_samples_overlap; // Overlap in seconds when copying audio samples from speech segment. }; // NOTE: this function allocates memory, and it is the responsibility of the caller to free the pointer - see whisper_free_context_params & whisper_free_params() @@ -652,6 +663,77 @@ extern "C" { WHISPER_API float whisper_full_get_token_p (struct whisper_context * ctx, int i_segment, int i_token); WHISPER_API float whisper_full_get_token_p_from_state(struct whisper_state * state, int i_segment, int i_token); + // Voice Activity Detection (VAD) + struct whisper_vad_context; + struct whisper_vad_state; + + struct whisper_vad_params { + float threshold; // Probability threshold to consider as speech. + int min_speech_duration_ms; // Min duration for a valid speech segment. + int min_silence_duration_ms; // Min silence duration to consider speech as ended. + float max_speech_duration_s; // Max duration of a speech segment before forcing a new segment. + int speech_pad_ms; // Padding added before and after speech segments. + int window_size_samples; // Number of audio samples in each probability window. + float samples_overlap; // Overlap in seconds when copying audio samples from speech segment. + }; + WHISPER_API struct whisper_vad_params whisper_vad_default_params(void); + WHISPER_API struct whisper_vad_params whisper_vad_params_from(struct whisper_full_params wparams); + + struct whisper_vad_context_params { + int n_threads; // The number of threads to use for processing. + bool use_gpu; + int gpu_device; // CUDA device + }; + WHISPER_API struct whisper_vad_context_params whisper_vad_default_context_params(void); + + WHISPER_API struct whisper_vad_state * whisper_vad_init_state(struct whisper_vad_context * ctx); + + WHISPER_API struct whisper_vad_context * whisper_vad_init_from_file_with_params( + const char * path_model, + const struct whisper_vad_context_params params); + + WHISPER_API struct whisper_vad_context * whisper_vad_init_from_file_with_params_no_state( + const char * path_model, + const struct whisper_vad_context_params params); + + WHISPER_API struct whisper_vad_context * whisper_vad_init_with_params_no_state(struct whisper_model_loader * loader, + struct whisper_vad_context_params params); + + struct whisper_vad_speech { + int n_probs; + float * probs; + }; + + WHISPER_API struct whisper_vad_speech whisper_vad_detect_speech( + struct whisper_vad_context * vctx, + const float * samples, int n_samples); + + struct whisper_vad_segment { + float start; // Start time in seconds + float end; // End time in seconds + }; + + struct whisper_vad_timestamps { + int n_segments; + struct whisper_vad_segment * segments; + }; + + WHISPER_API struct whisper_vad_timestamps whisper_vad_detect_speech_timestamps( + struct whisper_vad_context * vctx, + struct whisper_vad_params params, + const float * samples, int n_samples); + + WHISPER_API struct whisper_vad_timestamps whisper_vad_timestamps_from_probs( + struct whisper_vad_context * vctx, + struct whisper_vad_params params, + struct whisper_vad_speech * probs); + + WHISPER_API void whisper_vad_free (struct whisper_vad_context * ctx); + WHISPER_API void whisper_vad_free_state (struct whisper_vad_state * state); + WHISPER_API void whisper_vad_free_params (struct whisper_vad_params * params); + WHISPER_API void whisper_vad_free_speech (struct whisper_vad_speech * speech); + WHISPER_API void whisper_vad_free_timestamps(struct whisper_vad_timestamps * timestamps); + //////////////////////////////////////////////////////////////////////////// // Temporary helpers needed for exposing ggml interface diff --git a/models/convert-silero-vad-to-ggml.py b/models/convert-silero-vad-to-ggml.py new file mode 100644 index 00000000000..7caed2357b3 --- /dev/null +++ b/models/convert-silero-vad-to-ggml.py @@ -0,0 +1,196 @@ +import os +import struct +import argparse +import torch +import numpy as np +from silero_vad import load_silero_vad, __version__ as silero_version + +def convert_silero_vad(output_path, print_tensors=True): + model = load_silero_vad() + state_dict = model.state_dict() + + # Clean up state dict keys - filter out 8k model + cleaned_dict = {} + for key, value in state_dict.items(): + # Skip 8k model + if "_8k" not in key: + clean_key = key + if not key.startswith("_model."): + clean_key = "_model." + key + cleaned_dict[clean_key] = value + + base, ext = os.path.splitext(output_path) + output_file = f"{base}-v{silero_version}-ggml{ext}" + print(f"Saving GGML Silero-VAD model to {output_file}") + + print("\nTensor info for debugging:") + for key, tensor in cleaned_dict.items(): + print(f" - {key}: {tensor.shape} ({tensor.dtype})") + print() + + with open(output_file, "wb") as fout: + # Write magic and version + fout.write(struct.pack("i", 0x67676d6c)) + + model_type = "silero-16k" + str_len = len(model_type) + fout.write(struct.pack("i", str_len)) + fout.write(model_type.encode('utf-8')) + + version_parts = silero_version.split('.') + major, minor, patch = map(int, version_parts) + print(f"Version: {major}.{minor}.{patch}") + fout.write(struct.pack("i", major)) + fout.write(struct.pack("i", minor)) + fout.write(struct.pack("i", patch)) + + # Write model architecture parameters + window_size = 512 + fout.write(struct.pack("i", window_size)) + context_size = 64 + fout.write(struct.pack("i", context_size)) + + n_encoder_layers = 4 + fout.write(struct.pack("i", n_encoder_layers)) + + # Write encoder dimensions + input_channels = 129 + encoder_in_channels = [input_channels, 128, 64, 64] + encoder_out_channels = [128, 64, 64, 128] + kernel_size = 3 + + for i in range(n_encoder_layers): + fout.write(struct.pack("i", encoder_in_channels[i])) + fout.write(struct.pack("i", encoder_out_channels[i])) + fout.write(struct.pack("i", kernel_size)) + + # Write LSTM dimensions + lstm_input_size = 128 + lstm_hidden_size = 128 + fout.write(struct.pack("i", lstm_input_size)) + fout.write(struct.pack("i", lstm_hidden_size)) + + # Write final conv dimensions + final_conv_in = 128 + final_conv_out = 1 + fout.write(struct.pack("i", final_conv_in)) + fout.write(struct.pack("i", final_conv_out)) + + # Define tensor keys to write + tensor_keys = [] + + # Encoder weights + for i in range(n_encoder_layers): + weight_key = f"_model.encoder.{i}.reparam_conv.weight" + bias_key = f"_model.encoder.{i}.reparam_conv.bias" + if weight_key in cleaned_dict and bias_key in cleaned_dict: + tensor_keys.append(weight_key) + tensor_keys.append(bias_key) + + # LSTM weights + lstm_keys = [ + "_model.decoder.rnn.weight_ih", + "_model.decoder.rnn.weight_hh", + "_model.decoder.rnn.bias_ih", + "_model.decoder.rnn.bias_hh" + ] + tensor_keys.extend([k for k in lstm_keys if k in cleaned_dict]) + + # Final conv weights + final_keys = [ + "_model.decoder.decoder.2.weight", + "_model.decoder.decoder.2.bias" + ] + tensor_keys.extend([k for k in final_keys if k in cleaned_dict]) + + # STFT basis - add this last + stft_tensor = "_model.stft.forward_basis_buffer" + tensor_keys.append(stft_tensor) + + print(f"Writing {len(tensor_keys)} tensors:") + for key in tensor_keys: + if key in cleaned_dict: + print(f" - {key}: {cleaned_dict[key].shape}") + else: + print(f" - {key}: MISSING") + + # Process each tensor + for key in tensor_keys: + if key not in cleaned_dict: + print(f"Warning: Missing tensor {key}, skipping") + continue + + tensor = cleaned_dict[key] + + # Special handling for STFT tensor + if key == "_model.stft.forward_basis_buffer": + # Get the original numpy array without squeezing + data = tensor.detach().cpu().numpy() + # Ensure it has the expected shape + print(f"STFT tensor original shape: {data.shape}") + n_dims = 3 + tensor_shape = [data.shape[0], data.shape[1], data.shape[2]] + is_conv_weight = True + else: + # For other tensors, we can use standard processing + data = tensor.detach().cpu().squeeze().numpy() + tensor_shape = list(data.shape) + + # Ensure we have at most 4 dimensions for GGML + n_dims = min(len(tensor_shape), 4) + + # Reverse dimensions for GGML + tensor_shape = tensor_shape[:n_dims] + tensor_shape.reverse() + + # Check if this is a convolution weight tensor + is_conv_weight = "weight" in key and ("encoder" in key or "_model.decoder.decoder.2" in key) + + # Convert to float16 for convolution weights + if is_conv_weight: + data = data.astype(np.float16) + ftype = 1 # float16 + else: + ftype = 0 # float32 + + # Debug printing of tensor info + print(f"\nWriting tensor: {key}") + print(f" Original shape: {tensor.shape}") + print(f" Processed shape: {data.shape}") + print(f" GGML dimensions: {n_dims}") + print(f" GGML shape: {tensor_shape}") + print(f" Type: {'float16' if ftype == 1 else 'float32'}") + + # Convert tensor name to bytes + name_bytes = key.encode('utf-8') + name_length = len(name_bytes) + + # Write tensor header + fout.write(struct.pack("i", n_dims)) + fout.write(struct.pack("i", name_length)) + fout.write(struct.pack("i", ftype)) + + # Write tensor dimensions + for i in range(n_dims): + size = tensor_shape[i] if i < len(tensor_shape) else 1 + fout.write(struct.pack("i", size)) + print(f" Writing dimension {i}: {size}") + + # Write tensor name + fout.write(name_bytes) + + # Write tensor data + data.tofile(fout) + + print(f" Wrote {data.size * (2 if ftype==1 else 4)} bytes") + + print(f"\nDone! Model has been converted to GGML format: {output_file}") + print(f"File size: {os.path.getsize(output_file)} bytes") + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="Convert Silero-VAD PyTorch model to GGML format") + parser.add_argument("--output", type=str, required=True, help="Path to output GGML model file") + parser.add_argument("--print-tensors", action="store_true", help="Print tensor values", default=True) + args = parser.parse_args() + + convert_silero_vad(args.output, args.print_tensors) diff --git a/models/for-tests-silero-v5.1.2-ggml.bin b/models/for-tests-silero-v5.1.2-ggml.bin new file mode 100644 index 0000000000000000000000000000000000000000..5988dc1d14927b0a3dac30d7221d3ce5a79cb275 GIT binary patch literal 885098 zcmYg%b#UBP7jKx+aT3Q23u0Z-?%EDh0}V4XGdavj!_0BayIvBnv}6c0)G#;94Rac9 z+UIZPy_xsN(Y?}Yq!~$j&-uZbJZ0Rt8s*BBn>Atbn3>aX$}*{P*oH7{FZ!*|AnAQuYC_Hv%Neu z@w&_yc`w$G-r)I{JOZX5`S~@`-lld)5R`*&0v?PucgA(9ha;16u(QOEL?^nVkOM^a 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= { {ASR_TENSOR_ATTN_OUT_WEIGHT, GGML_OP_MUL_MAT}, {ASR_TENSOR_ATTN_OUT_BIAS, GGML_OP_ADD}, }; + +enum vad_tensor { + VAD_TENSOR_STFT_BASIS, + VAD_TENSOR_ENC_0_WEIGHT, + VAD_TENSOR_ENC_0_BIAS, + VAD_TENSOR_ENC_1_WEIGHT, + VAD_TENSOR_ENC_1_BIAS, + VAD_TENSOR_ENC_2_WEIGHT, + VAD_TENSOR_ENC_2_BIAS, + VAD_TENSOR_ENC_3_WEIGHT, + VAD_TENSOR_ENC_3_BIAS, + VAD_TENSOR_LSTM_WEIGHT_IH, + VAD_TENSOR_LSTM_WEIGHT_HH, + VAD_TENSOR_LSTM_BIAS_IH, + VAD_TENSOR_LSTM_BIAS_HH, + VAD_TENSOR_FINAL_CONV_WEIGHT, + VAD_TENSOR_FINAL_CONV_BIAS, +}; + +static const std::map VAD_TENSOR_OPS = { + {VAD_TENSOR_STFT_BASIS, GGML_OP_MUL_MAT}, + {VAD_TENSOR_ENC_0_WEIGHT, GGML_OP_MUL_MAT}, + {VAD_TENSOR_ENC_0_BIAS, GGML_OP_ADD}, + {VAD_TENSOR_ENC_1_WEIGHT, GGML_OP_MUL_MAT}, + {VAD_TENSOR_ENC_1_BIAS, GGML_OP_ADD}, + {VAD_TENSOR_ENC_2_WEIGHT, GGML_OP_MUL_MAT}, + {VAD_TENSOR_ENC_2_BIAS, GGML_OP_ADD}, + {VAD_TENSOR_ENC_3_WEIGHT, GGML_OP_MUL_MAT}, + {VAD_TENSOR_ENC_3_BIAS, GGML_OP_ADD}, + + {VAD_TENSOR_LSTM_WEIGHT_IH, GGML_OP_MUL_MAT}, + {VAD_TENSOR_LSTM_WEIGHT_HH, GGML_OP_MUL_MAT}, + {VAD_TENSOR_LSTM_BIAS_IH, GGML_OP_ADD}, + {VAD_TENSOR_LSTM_BIAS_HH, GGML_OP_ADD}, + + {VAD_TENSOR_FINAL_CONV_WEIGHT, GGML_OP_MUL_MAT}, + {VAD_TENSOR_FINAL_CONV_BIAS, GGML_OP_ADD} +}; + +static const std::map VAD_TENSOR_NAMES = { + {VAD_TENSOR_STFT_BASIS, "_model.stft.forward_basis_buffer"}, + {VAD_TENSOR_ENC_0_WEIGHT, "_model.encoder.0.reparam_conv.weight"}, + {VAD_TENSOR_ENC_0_BIAS, "_model.encoder.0.reparam_conv.bias"}, + {VAD_TENSOR_ENC_1_WEIGHT, "_model.encoder.1.reparam_conv.weight"}, + {VAD_TENSOR_ENC_1_BIAS, "_model.encoder.1.reparam_conv.bias"}, + {VAD_TENSOR_ENC_2_WEIGHT, "_model.encoder.2.reparam_conv.weight"}, + {VAD_TENSOR_ENC_2_BIAS, "_model.encoder.2.reparam_conv.bias"}, + {VAD_TENSOR_ENC_3_WEIGHT, "_model.encoder.3.reparam_conv.weight"}, + {VAD_TENSOR_ENC_3_BIAS, "_model.encoder.3.reparam_conv.bias"}, + {VAD_TENSOR_LSTM_WEIGHT_IH, "_model.decoder.rnn.weight_ih"}, + {VAD_TENSOR_LSTM_WEIGHT_HH, "_model.decoder.rnn.weight_hh"}, + {VAD_TENSOR_LSTM_BIAS_IH, "_model.decoder.rnn.bias_ih"}, + {VAD_TENSOR_LSTM_BIAS_HH, "_model.decoder.rnn.bias_hh"}, + {VAD_TENSOR_FINAL_CONV_WEIGHT, "_model.decoder.decoder.2.weight"}, + {VAD_TENSOR_FINAL_CONV_BIAS, "_model.decoder.decoder.2.bias"} +}; diff --git a/src/whisper.cpp b/src/whisper.cpp index f8707e73098..efd456801c8 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -17,6 +17,7 @@ #include #include #include +#include #define _USE_MATH_DEFINES #include #include @@ -4342,6 +4343,1192 @@ const char * whisper_print_system_info(void) { return s.c_str(); } +////////////////////////////////// +// Voice Activity Detection (VAD) +////////////////////////////////// + +struct whisper_vad_hparams { + int32_t n_encoder_layers; + int32_t * encoder_in_channels; + int32_t * encoder_out_channels; + int32_t * kernel_sizes; + int32_t lstm_input_size; + int32_t lstm_hidden_size; + int32_t final_conv_in; + int32_t final_conv_out; +}; + +struct whisper_vad_model { + std::string type; + std::string version; + whisper_vad_hparams hparams; + + struct ggml_tensor * stft_forward_basis; // [256, 258] + + // Encoder tensors - 4 convolutional layers + struct ggml_tensor * encoder_0_weight; // [3, 129, 128] + struct ggml_tensor * encoder_0_bias; // [128] + + // Second encoder layer + struct ggml_tensor * encoder_1_weight; // [3, 128, 64] + struct ggml_tensor * encoder_1_bias; // [64] + + // Third encoder layer + struct ggml_tensor * encoder_2_weight; // [3, 64, 64] + struct ggml_tensor * encoder_2_bias; // [64] + + // Fourth encoder layer + struct ggml_tensor * encoder_3_weight; // [3, 64, 128] + struct ggml_tensor * encoder_3_bias; // [128] + + // LSTM decoder tensors + struct ggml_tensor * lstm_ih_weight; // [128, 512] input-to-hidden + struct ggml_tensor * lstm_ih_bias; // [512] + struct ggml_tensor * lstm_hh_weight; // [128, 512] hidden-to-hidden + struct ggml_tensor * lstm_hh_bias; // [512] + + // Final conv layer + struct ggml_tensor * final_conv_weight; // [128] + struct ggml_tensor * final_conv_bias; // [1] + + // ggml contexts + std::vector ctxs; + + // buffer for the model tensors + std::vector buffers; + + // tensors + int n_loaded; + std::map tensors; +}; + +struct whisper_vad_state { + std::vector backends; + + whisper_sched sched; +}; + +struct whisper_vad_context { + int64_t t_load_us = 0; + int64_t t_start_us = 0; + + int n_window; + int n_context; + int n_threads; + bool use_gpu; + int gpu_device; + + whisper_vad_model model; + whisper_vad_state * state = nullptr; + + whisper_context_params params; + + std::string path_model; +}; + +struct whisper_vad_context_params whisper_vad_default_context_params(void) { + whisper_vad_context_params result = { + /*.n_thread = */ 4, + /*.use_gpu = */ true, + /*.gpu_device = */ 0, + }; + return result; +} + +struct whisper_vad_params whisper_vad_default_params(void) { + whisper_vad_params result = { + /* threshold = */ 0.5f, + /* min_speech_duration_ms = */ 250, + /* min_silence_duration_ms = */ 100, + /* max_speech_duration_s = */ FLT_MAX, + /* speech_pad_ms = */ 30, + /* window_size_samples = */ 512, + /* samples_overlap = */ 0.1, + }; + return result; +} + +struct whisper_vad_params whisper_vad_params_from(struct whisper_full_params wparams) { + whisper_vad_params result = { + /* threshold = */ wparams.vad_threshold, + /* min_speech_duration_ms = */ wparams.vad_min_speech_duration_ms, + /* min_silence_duration_ms = */ wparams.vad_min_silence_duration_ms, + /* max_speech_duration_s = */ wparams.vad_max_speech_duration_s, + /* speech_pad_ms = */ wparams.vad_speech_pad_ms, + /* window_size_samples = */ wparams.vad_window_size_samples, + /* samples_overlap = */ wparams.vad_samples_overlap, + }; + return result; +} + +static bool weight_buft_supported(const whisper_vad_hparams & hparams, ggml_tensor * w, ggml_op op, ggml_backend_buffer_type_t buft, ggml_backend_dev_t dev) { + bool op_supported = true; + + if (ggml_backend_dev_type(dev) == GGML_BACKEND_DEVICE_TYPE_GPU || + (ggml_backend_dev_type(dev) == GGML_BACKEND_DEVICE_TYPE_CPU && buft == ggml_backend_cpu_buffer_type())) { + // GPU and default CPU backend support all operators + op_supported = true; + } else { + switch (op) { + // The current extra_buffer_type implementations only support GGML_OP_MUL_MAT + case GGML_OP_MUL_MAT: { + ggml_init_params params = { + /*.mem_size =*/ 2 * ggml_tensor_overhead(), + /*.mem_buffer =*/ nullptr, + /*.no_alloc =*/ true, + }; + + ggml_context_ptr ctx_ptr { ggml_init(params) }; + if (!ctx_ptr) { + throw std::runtime_error("failed to create ggml context"); + } + ggml_context * ctx = ctx_ptr.get(); + + ggml_tensor * op_tensor = nullptr; + + int64_t n_ctx = hparams.lstm_hidden_size; + ggml_tensor * b = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, w->ne[0], n_ctx, w->ne[2], w->ne[3]); + op_tensor = ggml_mul_mat(ctx, w, b); + + // create a temporary dummy buffer for the weight so that supports_op can check the buffer type + GGML_ASSERT(w->buffer == nullptr); + w->buffer = ggml_backend_buft_alloc_buffer(buft, 0); + op_supported = ggml_backend_dev_supports_op(dev, op_tensor); + ggml_backend_buffer_free(w->buffer); + w->buffer = nullptr; + break; + } + default: { + op_supported = false; + break; + } + }; + } + return op_supported; +} + +static ggml_backend_buffer_type_t select_weight_buft(const whisper_vad_hparams & hparams, ggml_tensor * w, ggml_op op, buft_list_t buft_list) { + GGML_ASSERT(!buft_list.empty()); + for (const auto & p : buft_list) { + ggml_backend_dev_t dev = p.first; + ggml_backend_buffer_type_t buft = p.second; + if (weight_buft_supported(hparams, w, op, buft, dev)) { + return buft; + } + } + + return nullptr; +} + +static ggml_tensor * whisper_vad_build_stft_layer(ggml_context* ctx0, + const whisper_vad_model & model, ggml_tensor * cur) { + // Apply reflective padding to the input tensor + ggml_tensor * padded = ggml_pad_reflect_1d(ctx0, cur, 64, 64); + + // Perform the Short-Time Fourier Transform (STFT) convolution operation. + // We need the stft tensor to be in {256, 1, 258} + // 256 frequency bins (output), 1 channel (input), and 258 is kernel size. + struct ggml_tensor * stft_reshaped = ggml_reshape_3d(ctx0, model.stft_forward_basis, + model.stft_forward_basis->ne[2], model.stft_forward_basis->ne[1], model.stft_forward_basis->ne[0]); + struct ggml_tensor* stft = ggml_conv_1d(ctx0, stft_reshaped, padded, model.hparams.lstm_input_size, 0, 1); + + // Calculate cutoff for real/imaginary parts + int cutoff = model.stft_forward_basis->ne[2] / 2 + 1; + + // Extract real part (first half of the STFT output). + struct ggml_tensor * real_part = ggml_view_2d(ctx0, stft, 4, cutoff, stft->nb[1], 0); + // Extract imaginary part (second half of the STFT output). + struct ggml_tensor * img_part = ggml_view_2d(ctx0, stft, 4, cutoff, stft->nb[1], cutoff * stft->nb[1]); + + // Calculate magnitude: sqrt(real^2 + imag^2) + struct ggml_tensor * real_squared = ggml_mul(ctx0, real_part, real_part); + struct ggml_tensor * img_squared = ggml_mul(ctx0, img_part, img_part); + struct ggml_tensor * sum_squares = ggml_add(ctx0, real_squared, img_squared); + struct ggml_tensor * magnitude = ggml_sqrt(ctx0, sum_squares); + return magnitude; +} + +static ggml_tensor * whisper_vad_build_encoder_layer(ggml_context* ctx0, + const whisper_vad_model & model, ggml_tensor * cur) { + // First Conv1D: expands to 128 channels. + cur = ggml_conv_1d(ctx0, model.encoder_0_weight, cur, 1, 1, 1); + cur = ggml_add(ctx0, cur, ggml_reshape_3d(ctx0, model.encoder_0_bias, 1, 128, 1)); + cur = ggml_relu(ctx0, cur); + + // Second Conv1D: reduces to 64 channels. + cur = ggml_conv_1d(ctx0, model.encoder_1_weight, cur, 2, 1, 1); + cur = ggml_add(ctx0, cur, ggml_reshape_3d(ctx0, model.encoder_1_bias, 1, 64, 1)); + cur = ggml_relu(ctx0, cur); + + // Third Conv1D: maintains 64 channels + cur = ggml_conv_1d(ctx0, model.encoder_2_weight, cur, 2, 1, 1); + cur = ggml_add(ctx0, cur, ggml_reshape_3d(ctx0, model.encoder_2_bias, 1, 64, 1)); + cur = ggml_relu(ctx0, cur); + + // Fourth Conv1D: expands to 128 channels + cur = ggml_conv_1d(ctx0, model.encoder_3_weight, cur, 1, 1, 1); + cur = ggml_add(ctx0, cur, ggml_reshape_3d(ctx0, model.encoder_3_bias, 1, 128, 1)); + cur = ggml_relu(ctx0, cur); + + return cur; +} + +static ggml_tensor * whisper_vad_build_lstm_layer(ggml_context* ctx0, + const whisper_vad_context & vctx, ggml_tensor * cur, ggml_cgraph * gf) { + const whisper_vad_model & model = vctx.model; + const int hdim = model.hparams.lstm_hidden_size; + const int hdim_bytes = hdim * sizeof(float); + + struct ggml_tensor * x_t = ggml_cont(ctx0, ggml_transpose(ctx0, cur)); + + // Hidden state from previous time step. + struct ggml_tensor * h_in = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, hdim); + ggml_set_name(h_in, "h_in"); + ggml_set_input(h_in); + + // Cell state from all previous time steps. + struct ggml_tensor * c_in = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, hdim); + ggml_set_name(c_in, "c_in"); + ggml_set_input(c_in); + + // Create operations using the input-to-hidden weights. + struct ggml_tensor * inp_gate = ggml_mul_mat(ctx0, model.lstm_ih_weight, x_t); + inp_gate = ggml_add(ctx0, inp_gate, model.lstm_ih_bias); + + // Create operations using the hidden-to-hidden weights. + struct ggml_tensor * hid_gate = ggml_mul_mat(ctx0, model.lstm_hh_weight, h_in); + hid_gate = ggml_add(ctx0, hid_gate, model.lstm_hh_bias); + + // Create add operation to get preactivations for all gates. + struct ggml_tensor * out_gate = ggml_add(ctx0, inp_gate, hid_gate); + + // Create sigmoid for input gate (using the first 128 bytes from the preactivations). + struct ggml_tensor * i_t = ggml_sigmoid(ctx0, ggml_view_1d(ctx0, out_gate, hdim, 0 * hdim_bytes)); + + // Create sigmoid for the forget gate (using the second 128 bytes from the preactivations). + struct ggml_tensor * f_t = ggml_sigmoid(ctx0, ggml_view_1d(ctx0, out_gate, hdim, 1 * hdim_bytes)); + + // Create sigmoid for the cell gate (using the third 128 bytes from the preactivations). + struct ggml_tensor * g_t = ggml_tanh(ctx0, ggml_view_1d(ctx0, out_gate, hdim, 2 * hdim_bytes)); + + // Create sigmoid for the output gate (using the fourth 128 bytes from the preactivations). + struct ggml_tensor * o_t = ggml_sigmoid(ctx0, ggml_view_1d(ctx0, out_gate, hdim, 3 * hdim_bytes)); + + // Update cell state + struct ggml_tensor * c_out = ggml_add(ctx0, + ggml_mul(ctx0, f_t, c_in), + ggml_mul(ctx0, i_t, g_t)); + ggml_set_output(c_out); + ggml_set_name(c_out, "c_out"); + ggml_build_forward_expand(gf, c_out); + + // Update hidden state + struct ggml_tensor * out = ggml_mul(ctx0, o_t, ggml_tanh(ctx0, c_out)); + ggml_set_output(out); + ggml_set_name(out, "h_out"); + return out; +} + +static struct ggml_cgraph * whisper_vad_build_graph(whisper_vad_context & vctx, + whisper_vad_state & vstate) { + const auto & model = vctx.model; + + struct ggml_init_params params = { + /*.mem_size =*/ vstate.sched.meta.size(), + /*.mem_buffer =*/ vstate.sched.meta.data(), + /*.no_alloc =*/ true, + }; + + struct ggml_context * ctx0 = ggml_init(params); + + ggml_cgraph * gf = ggml_new_graph(ctx0); + + struct ggml_tensor * frame = ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, vctx.n_window, 1); + ggml_set_name(frame, "frame"); + ggml_set_input(frame); + + struct ggml_tensor * cur = nullptr; + { + cur = whisper_vad_build_stft_layer(ctx0, model, frame); + + cur = whisper_vad_build_encoder_layer(ctx0, model, cur); + + // Extract the first element of the first dimension + // (equivalent to pytorch's [:, :, 0]) + cur = ggml_view_2d(ctx0, cur, 1, 128, cur->nb[1], 0); + + cur = whisper_vad_build_lstm_layer(ctx0, vctx, cur, gf); + cur = ggml_relu(ctx0, cur); + cur = ggml_conv_1d(ctx0, model.final_conv_weight, cur, 1, 0, 1); + cur = ggml_add(ctx0, cur, model.final_conv_bias); + cur = ggml_sigmoid(ctx0, cur); + ggml_set_name(cur, "prob"); + ggml_set_output(cur); + } + + ggml_build_forward_expand(gf, cur); + + ggml_free(ctx0); + + return gf; +} + +struct whisper_vad_state * whisper_vad_init_state(whisper_vad_context * ctx) { + whisper_vad_state * state = new whisper_vad_state; + + state->backends = whisper_backend_init(ctx->params); + if (state->backends.empty()) { + WHISPER_LOG_ERROR("%s: whisper_backend_init() failed\n", __func__); + whisper_vad_free_state(state); + return nullptr; + } + + { + bool ok = whisper_sched_graph_init(state->sched, state->backends, + [&]() { + return whisper_vad_build_graph(*ctx, *state); + }); + + if (!ok) { + WHISPER_LOG_ERROR("%s: failed to init VAD allocator\n", __func__); + whisper_vad_free_state(state); + return nullptr; + } + + WHISPER_LOG_INFO("%s: compute buffer (VAD) = %7.2f MB\n", __func__, whisper_sched_size(state->sched) / 1e6); + } + + return state; +} + +struct whisper_vad_context * whisper_vad_init_from_file_with_params( + const char * path_model, struct whisper_vad_context_params params) { + whisper_vad_context * ctx = whisper_vad_init_from_file_with_params_no_state(path_model, params); + if (!ctx) { + return nullptr; + } + + ctx->state = whisper_vad_init_state(ctx); + if (!ctx->state) { + whisper_vad_free(ctx); + return nullptr; + } + + return ctx; +} + +whisper_vad_context * whisper_vad_init_from_file_with_params_no_state( + const char * path_model, + const whisper_vad_context_params params) { + WHISPER_LOG_INFO("%s: loading VAD model from '%s'\n", __func__, path_model); +#ifdef _MSC_VER + std::wstring_convert> converter; + std::wstring path_model_wide = converter.from_bytes(path_model); + auto fin = std::ifstream(path_model_wide, std::ios::binary); +#else + auto fin = std::ifstream(path_model, std::ios::binary); +#endif + if (!fin) { + WHISPER_LOG_ERROR("%s: failed to open VAD model '%s'\n", __func__, path_model); + return nullptr; + } + + whisper_model_loader loader = {}; + loader.context = &fin; + + loader.read = [](void * ctx, void * output, size_t read_size) { + std::ifstream * fin = (std::ifstream*)ctx; + fin->read((char *)output, read_size); + return read_size; + }; + + loader.eof = [](void * ctx) { + std::ifstream * fin = (std::ifstream*)ctx; + return fin->eof(); + }; + + loader.close = [](void * ctx) { + std::ifstream * fin = (std::ifstream*)ctx; + fin->close(); + }; + + auto ctx = whisper_vad_init_with_params_no_state(&loader, params); + if (ctx) { + ctx->path_model = path_model; + } + + return ctx; +} + +struct whisper_vad_context * whisper_vad_init_with_params_no_state(struct whisper_model_loader * loader, struct whisper_vad_context_params params) { + // Read the VAD model + { + uint32_t magic; + read_safe(loader, magic); + if (magic != GGML_FILE_MAGIC) { + WHISPER_LOG_ERROR("%s: invalid model data (bad magic)\n", __func__); + return nullptr; + } + } + + whisper_vad_context * vctx = new whisper_vad_context; + vctx->n_threads = params.n_threads; + + auto & model = vctx->model; + auto & hparams = model.hparams; + + // load model context params. + { + int32_t str_len; + read_safe(loader, str_len); + std::vector buffer(str_len + 1, 0); + loader->read(loader->context, buffer.data(), str_len); + std::string model_type(buffer.data(), str_len); + model.type = model_type; + WHISPER_LOG_INFO("%s: model type: %s\n", __func__, model.type.c_str()); + + int32_t major, minor, patch; + read_safe(loader, major); + read_safe(loader, minor); + read_safe(loader, patch); + std::string version_str = std::to_string(major) + "." + + std::to_string(minor) + "." + + std::to_string(patch); + model.version = version_str; + WHISPER_LOG_INFO("%s: model version: %s\n", __func__, model.version.c_str()); + + read_safe(loader, vctx->n_window); + read_safe(loader, vctx->n_context); + } + + // load model hyper params (hparams). + { + read_safe(loader, hparams.n_encoder_layers); + + hparams.encoder_in_channels = new int32_t[hparams.n_encoder_layers]; + hparams.encoder_out_channels = new int32_t[hparams.n_encoder_layers]; + hparams.kernel_sizes = new int32_t[hparams.n_encoder_layers]; + + for (int32_t i = 0; i < hparams.n_encoder_layers; i++) { + read_safe(loader, hparams.encoder_in_channels[i]); + read_safe(loader, hparams.encoder_out_channels[i]); + read_safe(loader, hparams.kernel_sizes[i]); + } + + read_safe(loader, hparams.lstm_input_size); + read_safe(loader, hparams.lstm_hidden_size); + read_safe(loader, hparams.final_conv_in); + read_safe(loader, hparams.final_conv_out); + + WHISPER_LOG_INFO("%s: n_encoder_layers = %d\n", __func__, hparams.n_encoder_layers); + for (int32_t i = 0; i < hparams.n_encoder_layers; i++) { + WHISPER_LOG_INFO("%s: encoder_in_channels[%d] = %d\n", __func__, i, hparams.encoder_in_channels[i]); + } + for (int32_t i = 0; i < hparams.n_encoder_layers; i++) { + WHISPER_LOG_INFO("%s: encoder_out_channels[%d] = %d\n", __func__, i, hparams.encoder_out_channels[i]); + } + WHISPER_LOG_INFO("%s: lstm_input_size = %d\n", __func__, hparams.lstm_input_size); + WHISPER_LOG_INFO("%s: lstm_hidden_size = %d\n", __func__, hparams.lstm_hidden_size); + WHISPER_LOG_INFO("%s: final_conv_in = %d\n", __func__, hparams.final_conv_in); + WHISPER_LOG_INFO("%s: final_conv_out = %d\n", __func__, hparams.final_conv_out); + } + + // 1 STFT tensor, 4*2 encoder tensors, 4 LSTM tensors, 2 final output tensors + const size_t n_tensors = hparams.n_encoder_layers * 2 + 4 + 2 + 1; + + std::map ctx_map; + auto get_ctx = [&](ggml_backend_buffer_type_t buft) -> ggml_context * { + auto it = ctx_map.find(buft); + if (it == ctx_map.end()) { + ggml_init_params params = { + /*.mem_size =*/ n_tensors * ggml_tensor_overhead(), + /*.mem_buffer =*/ nullptr, + /*.no_alloc =*/ true, + }; + + ggml_context * ctx = ggml_init(params); + if (!ctx) { + throw std::runtime_error("failed to create ggml context"); + } + + ctx_map[buft] = ctx; + model.ctxs.emplace_back(ctx); + + return ctx; + } + + return it->second; + }; + + whisper_context_params wparams = whisper_context_default_params(); + wparams.use_gpu = params.use_gpu; + wparams.gpu_device = params.gpu_device; + buft_list_t buft_list = make_buft_list(wparams); + + auto create_tensor = [&](vad_tensor type, ggml_tensor * meta) -> ggml_tensor * { + ggml_op op = VAD_TENSOR_OPS.at(type); + ggml_backend_buffer_type_t buft = select_weight_buft(hparams, meta, op, buft_list); + if (!buft) { + throw std::runtime_error(format("failed to find a compatible buffer type for tensor %s", VAD_TENSOR_NAMES.at(type))); + } + + ggml_context * ctx = get_ctx(buft); + ggml_tensor * tensor = ggml_dup_tensor(ctx, meta); + model.tensors[VAD_TENSOR_NAMES.at(type)] = tensor; + + return tensor; + }; + + // create tensors + { + ggml_init_params params = { + /*.mem_size =*/ n_tensors * ggml_tensor_overhead(), + /*.mem_buffer =*/ nullptr, + /*.no_alloc =*/ true, + }; + + ggml_context * ctx = ggml_init(params); + const auto & hparams = model.hparams; + + // SFTF precomputed basis matrix + model.stft_forward_basis = create_tensor(VAD_TENSOR_STFT_BASIS, + ggml_new_tensor_3d(ctx, GGML_TYPE_F16, 258, 1, 256)); + + model.encoder_0_weight = create_tensor(VAD_TENSOR_ENC_0_WEIGHT, + ggml_new_tensor_3d( + ctx, + GGML_TYPE_F16, + hparams.kernel_sizes[0], + hparams.encoder_in_channels[0], + hparams.encoder_out_channels[0] + )); + model.encoder_0_bias = create_tensor(VAD_TENSOR_ENC_0_BIAS, + ggml_new_tensor_1d(ctx, GGML_TYPE_F32, hparams.encoder_out_channels[0])); + + model.encoder_1_weight = create_tensor(VAD_TENSOR_ENC_1_WEIGHT, + ggml_new_tensor_3d( + ctx, + GGML_TYPE_F16, + hparams.kernel_sizes[1], + hparams.encoder_in_channels[1], + hparams.encoder_out_channels[1] + )); + model.encoder_1_bias = create_tensor(VAD_TENSOR_ENC_1_BIAS, + ggml_new_tensor_1d(ctx, GGML_TYPE_F32, hparams.encoder_out_channels[1])); + + model.encoder_2_weight = create_tensor(VAD_TENSOR_ENC_2_WEIGHT, + ggml_new_tensor_3d( + ctx, + GGML_TYPE_F16, + hparams.kernel_sizes[2], + hparams.encoder_in_channels[2], + hparams.encoder_out_channels[2] + )); + model.encoder_2_bias = create_tensor(VAD_TENSOR_ENC_2_BIAS, + ggml_new_tensor_1d(ctx, GGML_TYPE_F32, hparams.encoder_out_channels[2])); + + model.encoder_3_weight = create_tensor(VAD_TENSOR_ENC_3_WEIGHT, + ggml_new_tensor_3d( + ctx, + GGML_TYPE_F16, + hparams.kernel_sizes[3], + hparams.encoder_in_channels[3], + hparams.encoder_out_channels[3] + )); + model.encoder_3_bias = create_tensor(VAD_TENSOR_ENC_3_BIAS, + ggml_new_tensor_1d(ctx, GGML_TYPE_F32, hparams.encoder_out_channels[3])); + + // Hidden State dimension (input gate, forget gate, cell gate, output gate) + const int hstate_dim = hparams.lstm_hidden_size * 4; + + // LSTM weights - input to hidden + model.lstm_ih_weight = create_tensor( + VAD_TENSOR_LSTM_WEIGHT_IH, + ggml_new_tensor_2d(ctx, GGML_TYPE_F32, hparams.lstm_hidden_size, hstate_dim) + ); + model.lstm_ih_bias = create_tensor( + VAD_TENSOR_LSTM_BIAS_IH, + ggml_new_tensor_1d(ctx, GGML_TYPE_F32, hstate_dim) + ); + + // LSTM weights - hidden to hidden + model.lstm_hh_weight = create_tensor( + VAD_TENSOR_LSTM_WEIGHT_HH, + ggml_new_tensor_2d(ctx, GGML_TYPE_F32, hparams.lstm_hidden_size, hstate_dim) + ); + model.lstm_hh_bias = create_tensor( + VAD_TENSOR_LSTM_BIAS_HH, + ggml_new_tensor_1d(ctx, GGML_TYPE_F32, hstate_dim) + ); + + // Final conv layer weight + model.final_conv_weight = create_tensor( + VAD_TENSOR_FINAL_CONV_WEIGHT, + ggml_new_tensor_2d(ctx, GGML_TYPE_F16, hparams.final_conv_in, 1) + ); + model.final_conv_bias = create_tensor( + VAD_TENSOR_FINAL_CONV_BIAS, + ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 1) + ); + + ggml_free(ctx); + } + + // allocate tensors in the backend buffers + for (auto & p : ctx_map) { + ggml_backend_buffer_type_t buft = p.first; + ggml_context * ctx = p.second; + ggml_backend_buffer_t buf = ggml_backend_alloc_ctx_tensors_from_buft(ctx, buft); + if (buf) { + model.buffers.emplace_back(buf); + + size_t size_main = ggml_backend_buffer_get_size(buf); + WHISPER_LOG_INFO("%s: %12s total size = %8.2f MB\n", __func__, ggml_backend_buffer_name(buf), size_main / 1e6); + } + } + + // load weights + { + size_t total_size = 0; + model.n_loaded = 0; + std::vector read_buf; + + while (true) { + int32_t n_dims; + int32_t length; + int32_t ttype; + + read_safe(loader, n_dims); + read_safe(loader, length); + read_safe(loader, ttype); + + if (loader->eof(loader->context)) { + break; + } + + int32_t nelements = 1; + int32_t ne[4] = { 1, 1, 1, 1 }; + for (int i = 0; i < n_dims; ++i) { + read_safe(loader, ne[i]); + nelements *= ne[i]; + } + + std::string name; + std::vector tmp(length); + loader->read(loader->context, &tmp[0], tmp.size()); + name.assign(&tmp[0], tmp.size()); + + if (model.tensors.find(name) == model.tensors.end()) { + WHISPER_LOG_ERROR("%s: unknown tensor '%s' in model file\n", __func__, name.data()); + return nullptr; + } + + auto tensor = model.tensors[name.data()]; + + if (ggml_nelements(tensor) != nelements) { + WHISPER_LOG_ERROR("%s: tensor '%s' has wrong size in model file\n", __func__, name.data()); + WHISPER_LOG_ERROR("%s: shape: [%d, %d, %d], expected: [%d, %d, %d]\n", + __func__, ne[0], ne[1], ne[2], (int) tensor->ne[0], (int) tensor->ne[1], (int) tensor->ne[2]); + return nullptr; + } + + if (tensor->ne[0] != ne[0] || tensor->ne[1] != ne[1] || tensor->ne[2] != ne[2]) { + WHISPER_LOG_ERROR("%s: tensor '%s' has wrong shape in model file: got [%d, %d, %d], expected [%d, %d, %d]\n", + __func__, name.data(), (int) tensor->ne[0], (int) tensor->ne[1], (int) tensor->ne[2], ne[0], ne[1], ne[2]); + return nullptr; + } + + const size_t bpe = ggml_type_size(ggml_type(ttype)); + + if ((nelements*bpe)/ggml_blck_size(tensor->type) != ggml_nbytes(tensor)) { + WHISPER_LOG_ERROR("%s: tensor '%s' has wrong size in model file: got %zu, expected %zu\n", + __func__, name.data(), ggml_nbytes(tensor), nelements*bpe); + return nullptr; + } + + if (ggml_backend_buffer_is_host(tensor->buffer)) { + // for the CPU and Metal backend, we can read directly into the tensor + loader->read(loader->context, tensor->data, ggml_nbytes(tensor)); + BYTESWAP_TENSOR(tensor); + } else { + // read into a temporary buffer first, then copy to device memory + read_buf.resize(ggml_nbytes(tensor)); + + loader->read(loader->context, read_buf.data(), read_buf.size()); + + ggml_backend_tensor_set(tensor, read_buf.data(), 0, ggml_nbytes(tensor)); + } + + total_size += ggml_nbytes(tensor); + model.n_loaded++; + } + + WHISPER_LOG_INFO("%s: model size = %7.2f MB\n", __func__, total_size/1e6); + + if (model.n_loaded == 0) { + WHISPER_LOG_WARN("%s: WARN no tensors loaded from model file - assuming empty model for testing\n", __func__); + } else if (model.n_loaded != (int) model.tensors.size()) { + WHISPER_LOG_ERROR("%s: ERROR not all tensors loaded from model file - expected %zu, got %d\n", __func__, model.tensors.size(), model.n_loaded); + return nullptr; + } + + } + + return vctx; +} + +struct whisper_vad_speech whisper_vad_detect_speech(struct whisper_vad_context * vctx, + const float * pcmf32, + int n_samples) { + const int hidden_dim = vctx->model.hparams.lstm_hidden_size; + int n_chunks = n_samples / vctx->n_window; + if (n_samples % vctx->n_window != 0) { + n_chunks += 1; // Add one more chunk for remaining samples. + } + auto & sched = vctx->state->sched.sched; + + WHISPER_LOG_INFO("%s: detecting speech in %d samples\n", __func__, n_samples); + WHISPER_LOG_INFO("%s: n_chunks: %d\n", __func__, n_chunks); + + ggml_cgraph * gf = whisper_vad_build_graph(*vctx, *vctx->state); + + if (!ggml_backend_sched_alloc_graph(sched, gf)) { + WHISPER_LOG_ERROR("%s: failed to allocate the compute buffer\n", __func__); + return {}; + } + + struct ggml_tensor * frame = ggml_graph_get_tensor(gf, "frame"); + struct ggml_tensor * c_out = ggml_graph_get_tensor(gf, "c_out"); + struct ggml_tensor * h_out = ggml_graph_get_tensor(gf, "h_out"); + struct ggml_tensor * c_in = ggml_graph_get_tensor(gf, "c_in"); + struct ggml_tensor * h_in = ggml_graph_get_tensor(gf, "h_in"); + struct ggml_tensor * prob = ggml_graph_get_tensor(gf, "prob"); + + ggml_set_zero(c_out); + ggml_set_zero(h_out); + ggml_set_zero(prob); + ggml_set_zero(c_in); + ggml_set_zero(h_in); + + std::vector h_state(hidden_dim, 0.0f); + std::vector c_state(hidden_dim, 0.0f); + + float * probs= new float[n_chunks]; + WHISPER_LOG_INFO("%s: props size: %u\n", __func__, n_chunks); + + std::vector window(vctx->n_window, 0.0f); + for (int i = 0; i < n_chunks; i++) { + int start_idx = i * vctx->n_window; + int end_idx = std::min(start_idx + vctx->n_window, n_samples); + int chunk_len = end_idx - start_idx; + + if (chunk_len < vctx->n_window) { + WHISPER_LOG_INFO("%s: chunk_len: %d < n_window: %d\n", __func__, chunk_len, vctx->n_window); + std::vector partial_chunk(vctx->n_window, 0.0f); + std::copy(pcmf32 + start_idx, pcmf32 + end_idx, partial_chunk.begin()); + + // Copy the zero-padded chunk to the window. + int max_samples_to_copy = vctx->n_window; + int actual_samples_to_copy = std::min(max_samples_to_copy, (int)partial_chunk.size()); + std::copy(partial_chunk.begin(), partial_chunk.begin() + actual_samples_to_copy, window.begin()); + if (actual_samples_to_copy < max_samples_to_copy) { + std::fill(window.begin() + actual_samples_to_copy, window.end(), 0.0f); + } + } else { + // Copy current frame samples to the window. + int samples_to_copy = std::min(end_idx - start_idx, vctx->n_window); + std::copy(pcmf32 + start_idx, pcmf32 + start_idx + samples_to_copy, + window.begin()); + } + + // Set the frame tensor data with the samples. + ggml_backend_tensor_set(frame, window.data(), 0, ggml_nelements(frame) * sizeof(float)); + + ggml_backend_tensor_set(h_in, h_state.data(), 0, hidden_dim * sizeof(float)); + ggml_backend_tensor_set(c_in, c_state.data(), 0, hidden_dim * sizeof(float)); + + if (!ggml_graph_compute_helper(sched, gf, vctx->n_threads)) { + WHISPER_LOG_ERROR("%s: failed to compute VAD graph\n", __func__); + break; + } + + // Update the LSTM states + ggml_backend_tensor_get(h_out, h_state.data(), 0, hidden_dim * sizeof(float)); + ggml_backend_tensor_get(c_out, c_state.data(), 0, hidden_dim * sizeof(float)); + + // Get the probability for this chunk. + ggml_backend_tensor_get(prob, &probs[i], 0, sizeof(float)); + + } + WHISPER_LOG_INFO("%s: finished processing %d samples\n", __func__, n_samples); + + struct whisper_vad_speech speech = { + /* n_probs = */ n_chunks, + /* probs = */ probs, + }; + return speech; +} + + +struct whisper_vad_timestamps whisper_vad_timestamps_from_probs(whisper_vad_context * vctx, + whisper_vad_params params, + struct whisper_vad_speech * speech) { + GGML_UNUSED(vctx); + WHISPER_LOG_INFO("%s: detecting speech timestamps using %d probabilities\n", __func__, speech->n_probs); + int n_probs = speech->n_probs; + float * probs = speech->probs; + float threshold = params.threshold; + int min_speech_duration_ms = params.min_speech_duration_ms; + int min_silence_duration_ms = params.min_silence_duration_ms; + float max_speech_duration_s = params.max_speech_duration_s; + int speech_pad_ms = params.speech_pad_ms; + int window_size_samples = params.window_size_samples; + int sample_rate = WHISPER_SAMPLE_RATE; + int min_silence_samples = sample_rate * min_silence_duration_ms / 1000; + int audio_length_samples = n_probs * window_size_samples; + + // Min number of samples to be considered valid speech. + int min_speech_samples = sample_rate * min_speech_duration_ms / 1000; + int speech_pad_samples = sample_rate * speech_pad_ms / 1000; + + // Max number of samples that a speech segment can contain before it is + // split into multiple segments. + int max_speech_samples; + if (max_speech_duration_s > 100000.0f) { + max_speech_samples = INT_MAX / 2; + } else { + int64_t temp = (int64_t)sample_rate * (int64_t)(max_speech_duration_s) - window_size_samples - 2 * speech_pad_samples; + max_speech_samples = (temp > INT_MAX) ? INT_MAX / 2 : (int)temp; + if (max_speech_samples < 0) { + max_speech_samples = INT_MAX / 2; + } + } + // Detect silence period that exceeds this value, then that location (sample) + // is marked as a potential place where the segment could be split if + // max_speech_samples is reached. The value 98 was taken from the original + // silaro-vad python implementation: + //https://github.com/snakers4/silero-vad/blob/0dd45f0bcd7271463c234f3bae5ad25181f9df8b/src/silero_vad/utils_vad.py#L291 + int min_silence_samples_at_max_speech = sample_rate * 98 / 1000; + + // Calculate lower threshold for detecting end of speech segments. + float neg_threshold = threshold - 0.15f; + if (neg_threshold < 0.01f) { + neg_threshold = 0.01f; + } + + typedef struct { + int start; + int end; + } speech_segment_t; + + // Allocate initial memory for speech segments. + int speech_capacity = 16; + speech_segment_t * speeches = (speech_segment_t*)malloc(speech_capacity * sizeof(speech_segment_t)); + if (!speeches) { + WHISPER_LOG_ERROR("%s: failed to allocate memory for temporary segments\n", __func__); + return { 0, nullptr }; + } + // Initialize all segments + for (int i = 0; i < speech_capacity; i++) { + speeches[i].start = 0; + speeches[i].end = 0; + } + + bool is_speech_segment = false; + int speech_count = 0; + int temp_end = 0; + int prev_end = 0; + int next_start = 0; + int curr_speech_start = 0; + bool has_curr_speech = false; + + auto resize_speeches = [&]() -> bool { + if (speech_count >= speech_capacity) { + speech_capacity *= 2; + speech_segment_t* new_speeches = (speech_segment_t*)realloc(speeches, + speech_capacity * sizeof(speech_segment_t)); + if (!new_speeches) { + WHISPER_LOG_ERROR("%s: failed to reallocate memory for speech segments\n", __func__); + free(speeches); + return false; + } + speeches = new_speeches; + + // Initialize new memory + for (int j = speech_count; j < speech_capacity; j++) { + speeches[j].start = 0; + speeches[j].end = 0; + } + } + return true; + }; + + for (int i = 0; i < n_probs; i++) { + float curr_prob = probs[i]; + int curr_sample = window_size_samples * i; + + // Reset temp_end when we get back to speech + if ((curr_prob >= threshold) && temp_end) { + temp_end = 0; + if (next_start < prev_end) { + next_start = curr_sample; + } + } + + // Start a new speech segment when probability exceeds threshold and not already in speech + if ((curr_prob >= threshold) && !is_speech_segment) { + is_speech_segment = true; + curr_speech_start = curr_sample; + has_curr_speech = true; + continue; + } + + // Handle maximum speech duration + if (is_speech_segment && (curr_sample - curr_speech_start) > max_speech_samples) { + if (prev_end) { + // Check if we need to increase capacity + if (!resize_speeches()) { + return { 0, nullptr }; + } + + // Add segment ending at previously detected silence + speeches[speech_count].start = curr_speech_start; + speeches[speech_count].end = prev_end; + speech_count++; + has_curr_speech = true; + + if (next_start < prev_end) { // Previously reached silence and is still not speech + is_speech_segment = false; + has_curr_speech = false; + } else { + curr_speech_start = next_start; + } + prev_end = next_start = temp_end = 0; + } else { + // No silence detected, force end the segment + if (!resize_speeches()) { + return { 0, nullptr }; + } + + speeches[speech_count].start = curr_speech_start; + speeches[speech_count].end = curr_sample; + speech_count++; + + prev_end = next_start = temp_end = 0; + is_speech_segment = false; + has_curr_speech = false; + continue; + } + } + + // Handle silence after speech + if ((curr_prob < neg_threshold) && is_speech_segment) { + if (!temp_end) { + temp_end = curr_sample; + } + + // Track potential segment ends for max_speech handling + if ((curr_sample - temp_end) > min_silence_samples_at_max_speech) { + prev_end = temp_end; + } + + // Check if silence is long enough to end the segment + if ((curr_sample - temp_end) < min_silence_samples) { + continue; + } else { + // End the segment if it's long enough + if ((temp_end - curr_speech_start) > min_speech_samples) { + // Check if we need to increase capacity + if (!resize_speeches()) { + return { 0, nullptr }; + } + + speeches[speech_count].start = curr_speech_start; + speeches[speech_count].end = temp_end; + speech_count++; + } + + prev_end = next_start = temp_end = 0; + is_speech_segment = false; + has_curr_speech = false; + continue; + } + } + } + + // Handle the case if we're still in a speech segment at the end + if (has_curr_speech && (audio_length_samples - curr_speech_start) > min_speech_samples) { + // Check if we need to increase capacity + if (!resize_speeches()) { + return { 0, nullptr }; + } + + speeches[speech_count].start = curr_speech_start; + speeches[speech_count].end = audio_length_samples; + speech_count++; + } + + // Merge adjacent segments with small gaps in between (post-processing) + if (speech_count > 1) { + int merged_count = 0; + for (int i = 0; i < speech_count - 1; i++) { + // Define maximum gap allowed for merging (e.g., 200ms converted to samples) + int max_merge_gap_samples = sample_rate * 200 / 1000; + + // If the gap between this segment and the next is small enough + if (speeches[i+1].start - speeches[i].end < max_merge_gap_samples) { + // Merge by extending current segment to the end of next segment + speeches[i].end = speeches[i+1].end; + + // Shift all subsequent segments back by one + for (int j = i+1; j < speech_count - 1; j++) { + speeches[j] = speeches[j+1]; + } + + // Reduce count and check this position again + speech_count--; + i--; + merged_count++; + } + } + WHISPER_LOG_INFO("%s: Merged %d adjacent segments, now have %d segments\n", + __func__, merged_count, speech_count); + } + + // Double-check for minimum speech duration + for (int i = 0; i < speech_count; i++) { + if (speeches[i].end - speeches[i].start < min_speech_samples) { + WHISPER_LOG_INFO("%s: Removing segment %d (too short: %d samples)\n", + __func__, i, speeches[i].end - speeches[i].start); + + // Remove this segment by shifting all subsequent segments + for (int j = i; j < speech_count - 1; j++) { + speeches[j] = speeches[j+1]; + } + + // Reduce count and recheck current position + speech_count--; + i--; + } + } + + WHISPER_LOG_INFO("%s: Final speech segments after filtering: %d\n", __func__, speech_count); + + // Allocate final segments + struct whisper_vad_segment * segments = NULL; + if (speech_count > 0) { + segments = (struct whisper_vad_segment*) malloc(speech_count * sizeof(struct whisper_vad_segment)); + if (!segments) { + WHISPER_LOG_ERROR("%s: failed to allocate memory for final segments\n", __func__); + free(speeches); + return { 0, nullptr }; + } + } + + // Apply padding to segments and copy to final segments + for (int i = 0; i < speech_count; i++) { + // Apply padding to the start of the first segment + if (i == 0) { + speeches[i].start = (speeches[i].start > speech_pad_samples) ? + (speeches[i].start - speech_pad_samples) : 0; + } + + // Handle spacing between segments + if (i < speech_count - 1) { + int silence_duration = speeches[i+1].start - speeches[i].end; + + if (silence_duration < 2 * speech_pad_samples) { + // If segments are close, split the difference + speeches[i].end += silence_duration / 2; + speeches[i+1].start = (speeches[i+1].start > silence_duration / 2) ? + (speeches[i+1].start - silence_duration / 2) : 0; + } else { + // Otherwise, apply full padding to both + speeches[i].end = (speeches[i].end + speech_pad_samples < audio_length_samples) ? + (speeches[i].end + speech_pad_samples) : audio_length_samples; + speeches[i+1].start = (speeches[i+1].start > speech_pad_samples) ? + (speeches[i+1].start - speech_pad_samples) : 0; + } + } else { + // Apply padding to the end of the last segment + speeches[i].end = (speeches[i].end + speech_pad_samples < audio_length_samples) ? + (speeches[i].end + speech_pad_samples) : audio_length_samples; + } + + // Convert from samples to seconds and copy to final segments + segments[i].start = (float)speeches[i].start / sample_rate; + segments[i].end = (float)speeches[i].end / sample_rate; + + WHISPER_LOG_INFO("%s: VAD segment %d: start = %.2f, end = %.2f (duration: %.2f)\n", + __func__, i, segments[i].start, segments[i].end, segments[i].end - segments[i].start); + } + + // Free temporary segments + free(speeches); + + struct whisper_vad_timestamps timestamps = { + /* n_segments = */ speech_count, + /* segments = */ segments, + }; + + return timestamps; +} + +struct whisper_vad_timestamps whisper_vad_detect_speech_timestamps(whisper_vad_context * vctx, + whisper_vad_params params, + const float * pcmf32, + int n_samples) { + WHISPER_LOG_INFO("%s: detecting speech timestamps in %d samples\n", __func__, n_samples); + auto probs = whisper_vad_detect_speech(vctx, pcmf32, n_samples); + return whisper_vad_timestamps_from_probs(vctx, params, &probs); +} + +void whisper_vad_free(whisper_vad_context * ctx) { + if (ctx) { + for (ggml_context * context : ctx->model.ctxs) { + ggml_free(context); + } + + for (ggml_backend_buffer_t buf : ctx->model.buffers) { + ggml_backend_buffer_free(buf); + } + + whisper_vad_free_state(ctx->state); + + delete ctx; + } +} + +void whisper_vad_free_state(whisper_vad_state * state) { + if (state) { + ggml_backend_sched_free(state->sched.sched); + + for (auto & backend : state->backends) { + ggml_backend_free(backend); + } + + delete state; + } +} + +void whisper_vad_free_params(whisper_vad_params * params) { + if (params) { + delete params; + } +} + +void whisper_vad_free_speech(whisper_vad_speech * speech) { + delete[] speech->probs; + speech->probs = nullptr; + speech->n_probs = 0; +} + +void whisper_vad_free_timestamps(whisper_vad_timestamps * timestamps) { + delete timestamps->segments; + timestamps->segments = nullptr; + timestamps->n_segments = 0; +} + ////////////////////////////////// // Grammar - ported from llama.cpp ////////////////////////////////// @@ -4779,6 +5966,7 @@ struct whisper_full_params * whisper_full_default_params_by_ref(enum whisper_sam } struct whisper_full_params whisper_full_default_params(enum whisper_sampling_strategy strategy) { + auto vparams = whisper_vad_default_params(); struct whisper_full_params result = { /*.strategy =*/ strategy, @@ -4858,6 +6046,16 @@ struct whisper_full_params whisper_full_default_params(enum whisper_sampling_str /*.n_grammar_rules =*/ 0, /*.i_start_rule =*/ 0, /*.grammar_penalty =*/ 100.0f, + + /*.vad =*/ false, + /*.vad_model_path =*/ nullptr, + /* vad_threshold =*/ vparams.threshold, + /* vad_min_speech_duration_ms =*/ vparams.min_speech_duration_ms, + /* vad_min_silence_duration_ms =*/ vparams.min_silence_duration_ms, + /* vad_max_speech_duration_s =*/ vparams.max_speech_duration_s, + /* vad_speech_pad_ms =*/ vparams.speech_pad_ms, + /* vad_window_size_samples =*/ vparams.window_size_samples, + /* vad_samples_overlap =*/ vparams.samples_overlap, }; switch (strategy) { @@ -5485,11 +6683,103 @@ int whisper_full_with_state( result_all.clear(); - if (n_samples > 0) { - // compute log mel spectrogram - if (whisper_pcm_to_mel_with_state(ctx, state, samples, n_samples, params.n_threads) != 0) { - WHISPER_LOG_ERROR("%s: failed to compute log mel spectrogram\n", __func__); - return -2; + float * filtered_samples = nullptr; + int filtered_n_samples = n_samples; + if (params.vad) { + WHISPER_LOG_INFO("%s: VAD is enabled, processing speach segments only\n", __func__); + struct whisper_vad_context_params vad_ctx_params = whisper_vad_default_context_params(); + struct whisper_vad_context * vctx = whisper_vad_init_from_file_with_params( + params.vad_model_path, + vad_ctx_params); + if (vctx == nullptr) { + WHISPER_LOG_ERROR("%s: failed to initialize VAD context\n", __func__); + return -1; + } + struct whisper_vad_params vad_params = whisper_vad_params_from(params); + struct whisper_vad_timestamps timestamps = whisper_vad_detect_speech_timestamps(vctx, vad_params, samples, n_samples); + + if (timestamps.n_segments > 0) { + WHISPER_LOG_INFO("%s: detected %d speech segments\n", __func__, timestamps.n_segments); + float overlap_seconds = params.vad_samples_overlap; + int overlap_samples = overlap_seconds * WHISPER_SAMPLE_RATE; + + filtered_n_samples = 0; + for (int i = 0; i < timestamps.n_segments; i++) { + int segment_start_samples = timestamps.segments[i].start * WHISPER_SAMPLE_RATE; + int segment_end_samples = timestamps.segments[i].end * WHISPER_SAMPLE_RATE; + + if (i < timestamps.n_segments - 1) { + segment_end_samples += overlap_samples; + } + segment_end_samples = std::min(segment_end_samples, n_samples - 1); + filtered_n_samples += (segment_end_samples - segment_start_samples); + + WHISPER_LOG_INFO("%s: Including segment %d: %.2f - %.2f (duration: %.2f)\n", + __func__, i, timestamps.segments[i].start, + timestamps.segments[i].end + (i < timestamps.n_segments - 1 ? overlap_seconds : 0), + (timestamps.segments[i].end - timestamps.segments[i].start) + + (i < timestamps.n_segments - 1 ? overlap_seconds : 0)); + } + int silence_samples = 0.1 * WHISPER_SAMPLE_RATE; + int total_silence_samples = (timestamps.n_segments > 1) ? (timestamps.n_segments - 1) * silence_samples : 0; + int total_samples_needed = filtered_n_samples + total_silence_samples; + + WHISPER_LOG_INFO("%s: total duration of speech segments: %.2f seconds\n", + __func__, (float)filtered_n_samples / WHISPER_SAMPLE_RATE); + + filtered_samples = (float*)malloc(total_samples_needed*sizeof(float)); + if (!filtered_samples) { + WHISPER_LOG_ERROR("%s: failed to allocate memory for filtered samples\n", __func__); + whisper_vad_free_timestamps(×tamps); + whisper_vad_free(vctx); + return -1; + } + int offset = 0; + for (int i = 0; i < timestamps.n_segments; i++) { + int segment_start_samples = timestamps.segments[i].start * WHISPER_SAMPLE_RATE; + int segment_end_samples = timestamps.segments[i].end * WHISPER_SAMPLE_RATE; + + if (i < timestamps.n_segments - 1) { + segment_end_samples += overlap_samples; + } + + segment_start_samples = std::min(segment_start_samples, n_samples - 1); + segment_end_samples = std::min(segment_end_samples, n_samples); + int segment_length = segment_end_samples - segment_start_samples; + + if (segment_length > 0) { + // Copy this speech segment + memcpy(filtered_samples + offset, samples + segment_start_samples, segment_length * sizeof(float)); + offset += segment_length; + + // Add silence after this segment (except after the last segment) + if (i < timestamps.n_segments - 1) { + // Fill with zeros (silence) + memset(filtered_samples + offset, 0, silence_samples * sizeof(float)); + offset += silence_samples; + } + } + } + filtered_n_samples = offset; + WHISPER_LOG_INFO("%s: Reduced audio from %d to %d samples (%.1f%% reduction)\n", + __func__, n_samples, filtered_n_samples, + 100.0f * (1.0f - (float)filtered_n_samples / n_samples)); + + if (whisper_pcm_to_mel_with_state(ctx, state, filtered_samples, filtered_n_samples, params.n_threads) != 0) { + WHISPER_LOG_ERROR("%s: failed to compute log mel spectrogram\n", __func__); + return -2; + } + } else { + WHISPER_LOG_INFO("%s: VAD: No speech detected in audio\n", __func__); + // Abort processing if there is not audio detected? + } + } else { + if (n_samples > 0) { + // compute log mel spectrogram + if (whisper_pcm_to_mel_with_state(ctx, state, samples, n_samples, params.n_threads) != 0) { + WHISPER_LOG_ERROR("%s: failed to compute log mel spectrogram\n", __func__); + return -2; + } } } diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt index 7cdfed82282..efa1bbe3fc8 100644 --- a/tests/CMakeLists.txt +++ b/tests/CMakeLists.txt @@ -1,3 +1,6 @@ +set(CMAKE_CXX_STANDARD 17) +set(CMAKE_CXX_STANDARD_REQUIRED ON) + if (EMSCRIPTEN) # # test-whisper-js @@ -85,3 +88,18 @@ if (WHISPER_FFMPEG) set_tests_properties(${TEST_TARGET} PROPERTIES LABELS "tiny;mp3") endif() +# VAD test tests VAD in isolation +set(VAD_TEST test-vad) +add_executable(${VAD_TEST} ${VAD_TEST}.cpp) +target_include_directories(${VAD_TEST} PRIVATE ../include ../ggml/include ../examples) +target_link_libraries(${VAD_TEST} PRIVATE common) +add_test(NAME ${VAD_TEST} COMMAND ${VAD_TEST}) +set_tests_properties(${VAD_TEST} PROPERTIES LABELS "unit") + +# VAD test full uses whisper_full with VAD enabled +set(VAD_TEST test-vad-full) +add_executable(${VAD_TEST} ${VAD_TEST}.cpp) +target_include_directories(${VAD_TEST} PRIVATE ../include ../ggml/include ../examples) +target_link_libraries(${VAD_TEST} PRIVATE common) +add_test(NAME ${VAD_TEST} COMMAND ${VAD_TEST}) +set_tests_properties(${VAD_TARGET} PROPERTIES LABELS "base;en") diff --git a/tests/test-vad-full.cpp b/tests/test-vad-full.cpp new file mode 100644 index 00000000000..fb3e1987d69 --- /dev/null +++ b/tests/test-vad-full.cpp @@ -0,0 +1,52 @@ +#include "whisper.h" +#include "common-whisper.h" + +#include +#include +#include +#include + +#ifdef NDEBUG +#undef NDEBUG +#endif + +#include + +int main() { + std::string whisper_model_path = "../../models/ggml-base.en.bin"; + std::string vad_model_path = "../../models/for-tests-silero-v5.1.2-ggml.bin"; + std::string sample_path = "../../samples/jfk.wav"; + + // Load the sample audio file + std::vector pcmf32; + std::vector> pcmf32s; + assert(read_audio_data(sample_path.c_str(), pcmf32, pcmf32s, false)); + + struct whisper_context_params cparams = whisper_context_default_params(); + struct whisper_context * wctx = whisper_init_from_file_with_params( + whisper_model_path.c_str(), + cparams); + + struct whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY); + wparams.vad = true; + wparams.vad_model_path = vad_model_path.c_str(); + wparams.vad_threshold = 0.5f; + wparams.vad_min_speech_duration_ms = 250; + wparams.vad_min_silence_duration_ms = 100; + wparams.vad_max_speech_duration_s = FLT_MAX; + wparams.vad_speech_pad_ms = 30; + wparams.vad_window_size_samples = 512; + + assert(whisper_full_parallel(wctx, wparams, pcmf32.data(), pcmf32.size(), 1) == 0); + + const int n_segments = whisper_full_n_segments(wctx); + assert(n_segments == 2); + assert(strcmp("And so my fellow Americans ask not what you country can do for you.", + whisper_full_get_segment_text(wctx, 0))); + assert(strcmp("Ask what you can do for your country.", + whisper_full_get_segment_text(wctx, 1))); + + whisper_free(wctx); + + return 0; +} diff --git a/tests/test-vad.cpp b/tests/test-vad.cpp new file mode 100644 index 00000000000..0061dea2b58 --- /dev/null +++ b/tests/test-vad.cpp @@ -0,0 +1,88 @@ +#include "whisper.h" +#include "common-whisper.h" + +#include +#include + +#ifdef NDEBUG +#undef NDEBUG +#endif +#include + +void assert_default_params(const struct whisper_vad_params & params) { + assert(params.threshold == 0.5); + assert(params.min_speech_duration_ms == 250); + assert(params.min_silence_duration_ms == 100); + assert(params.window_size_samples == 512); + assert(params.samples_overlap == 0.1f); +} + +void assert_default_context_params(const struct whisper_vad_context_params & params) { + assert(params.n_threads == 4); + assert(params.use_gpu == true); + assert(params.gpu_device == 0); +} + +struct whisper_vad_speech test_detect_speech( + struct whisper_vad_context * vctx, + struct whisper_vad_params params, + const float * pcmf32, + int n_samples) { + struct whisper_vad_speech speech = whisper_vad_detect_speech(vctx, pcmf32, n_samples); + assert(speech.n_probs == 344); + assert(speech.probs != nullptr); + + return speech; +} + +struct whisper_vad_timestamps test_detect_timestamps( + struct whisper_vad_context * vctx, + struct whisper_vad_params params, + struct whisper_vad_speech * speech) { + struct whisper_vad_timestamps timestamps = whisper_vad_timestamps_from_probs(vctx, params, speech); + assert(timestamps.n_segments == 5); + assert(timestamps.segments != nullptr); + + for (int i = 0; i < timestamps.n_segments; ++i) { + printf("VAD segment %d: start = %.2f, end = %.2f\n", + i, timestamps.segments[i].start, timestamps.segments[i].end); + } + + return timestamps; +} + +int main() { + std::string vad_model_path = "../../models/for-tests-silero-v5.1.2-ggml.bin"; + std::string sample_path = "../../samples/jfk.wav"; + + // Load the sample audio file + std::vector pcmf32; + std::vector> pcmf32s; + assert(read_audio_data(sample_path.c_str(), pcmf32, pcmf32s, false)); + assert(pcmf32.size() > 0); + assert(pcmf32s.size() == 0); // no stereo vector + + // Load the VAD model + struct whisper_vad_context_params ctx_params = whisper_vad_default_context_params(); + assert_default_context_params(ctx_params); + + struct whisper_vad_context * vctx = whisper_vad_init_from_file_with_params( + vad_model_path.c_str(), + ctx_params); + assert(vctx != nullptr); + + struct whisper_vad_params params = whisper_vad_default_params(); + assert_default_params(params); + + // Test speech probabilites + struct whisper_vad_speech speech = test_detect_speech(vctx, params, pcmf32.data(), pcmf32.size()); + + // Test speech timestamps (uses speech probabilities from above) + struct whisper_vad_timestamps timestamps = test_detect_timestamps(vctx, params, &speech); + + whisper_vad_free_speech(&speech); + whisper_vad_free_timestamps(×tamps); + whisper_vad_free(vctx); + + return 0; +} From 24901683889e6b961848490ffc86be10bb06352b Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Tue, 22 Apr 2025 12:40:58 +0200 Subject: [PATCH 02/49] examples : add VAD parameters to CLI [no ci] Example of format: ```console $ ./build/bin/whisper-cli --help usage: ./build/bin/whisper-cli [options] file0 file1 ... supported audio formats: flac, mp3, ogg, wav options: -h, --help [default] show this help message and exit ... Voice Activity Detection (VAD) options: -v, --vad [false ] enable Voice Activity Detection (VAD) -vm FNAME, --vad-model FNAME [ ] VAD model path -vt N, --vad-threshold N [0.50 ] VAD threshold for speech recognition -vs N, --vad_window_size_samples N [512 ] VAD window size -vspd N, --vad_min_speech_duration_ms N [250 ] VAD min speech duration -vsd N, --vad_min_silence_duration_ms N [100 ] VAD min silence duration -vmsd N, --vad_max_speech_duration_s N [FLT_MAX] VAD max speech duration -vp N, --vad_speech_pad_ms N [30 ] VAD speech padding -vo N, --vad_samples_overlap N [0.10 ] VAD samples overlap size ``` The main reason for the separate VAD options section is that the VAD options are longer and made the rest look a little ugly. --- examples/cli/cli.cpp | 47 ++++++++++++++++++++++++++++++++++++++++++++ src/whisper.cpp | 6 +++--- 2 files changed, 50 insertions(+), 3 deletions(-) diff --git a/examples/cli/cli.cpp b/examples/cli/cli.cpp index fccfd13eb0d..152e5982f47 100644 --- a/examples/cli/cli.cpp +++ b/examples/cli/cli.cpp @@ -11,6 +11,7 @@ #include #include #include +#include #if defined(_WIN32) #ifndef NOMINMAX @@ -97,6 +98,17 @@ struct whisper_params { std::vector fname_out = {}; grammar_parser::parse_state grammar_parsed; + + // Voice Activity Detection (VAD) parameters + bool vad = false; + std::string vad_model = ""; + float vad_threshold = 0.5f; + int vad_min_speech_duration_ms = 250; + int vad_min_silence_duration_ms = 100; + float vad_max_speech_duration_s = FLT_MAX; + int vad_speech_pad_ms = 30; + int vad_window_size_samples = 512; + float vad_samples_overlap = 0.1f; }; static void whisper_print_usage(int argc, char ** argv, const whisper_params & params); @@ -185,6 +197,16 @@ static bool whisper_params_parse(int argc, char ** argv, whisper_params & params else if ( arg == "--grammar") { params.grammar = ARGV_NEXT; } else if ( arg == "--grammar-rule") { params.grammar_rule = ARGV_NEXT; } else if ( arg == "--grammar-penalty") { params.grammar_penalty = std::stof(ARGV_NEXT); } + // Voice Activity Detection (VAD) + else if (arg == "-v" || arg == "--vad") { params.vad = true; } + else if (arg == "-vm" || arg == "--vad-model") { params.vad_model = ARGV_NEXT; } + else if (arg == "-vt" || arg == "--vad-threshold") { params.vad_threshold = std::stof(ARGV_NEXT); } + else if (arg == "-vsd" || arg == "--vad_min_speech_duration_ms") { params.vad_min_speech_duration_ms = std::stoi(ARGV_NEXT); } + else if (arg == "-vsd" || arg == "--vad_min_silence_duration_ms") { params.vad_min_speech_duration_ms = std::stoi(ARGV_NEXT); } + else if (arg == "-vmsd" || arg == "--vad_max_speech_duration_s") { params.vad_max_speech_duration_s = std::stof(ARGV_NEXT); } + else if (arg == "-vp" || arg == "--vad_speech_pad_ms") { params.vad_speech_pad_ms = std::stoi(ARGV_NEXT); } + else if (arg == "-vs" || arg == "--vad_window_size_samples") { params.vad_window_size_samples = std::stoi(ARGV_NEXT); } + else if (arg == "-vo" || arg == "--vad_samples_overlap") { params.vad_samples_overlap = std::stof(ARGV_NEXT); } else { fprintf(stderr, "error: unknown argument: %s\n", arg.c_str()); whisper_print_usage(argc, argv, params); @@ -254,6 +276,19 @@ static void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params fprintf(stderr, " --grammar GRAMMAR [%-7s] GBNF grammar to guide decoding\n", params.grammar.c_str()); fprintf(stderr, " --grammar-rule RULE [%-7s] top-level GBNF grammar rule name\n", params.grammar_rule.c_str()); fprintf(stderr, " --grammar-penalty N [%-7.1f] scales down logits of nongrammar tokens\n", params.grammar_penalty); + // Voice Activity Detection (VAD) parameters + fprintf(stderr, "\nVoice Activity Detection (VAD) options:\n"); + fprintf(stderr, " -v, --vad [%-7s] enable Voice Activity Detection (VAD)\n", params.vad ? "true" : "false"); + fprintf(stderr, " -vm FNAME, --vad-model FNAME [%-7s] VAD model path\n", params.vad_model.c_str()); + fprintf(stderr, " -vt N, --vad-threshold N [%-7.2f] VAD threshold for speech recognition\n", params.vad_threshold); + fprintf(stderr, " -vs N, --vad_window_size_samples N [%-7d] VAD window size\n", params.vad_window_size_samples); + fprintf(stderr, " -vspd N, --vad_min_speech_duration_ms N [%-7d] VAD min speech duration\n", params.vad_min_speech_duration_ms); + fprintf(stderr, " -vsd N, --vad_min_silence_duration_ms N [%-7d] VAD min silence duration\n", params.vad_min_silence_duration_ms); + fprintf(stderr, " -vmsd N, --vad_max_speech_duration_s N [%-7s] VAD max speech duration\n", params.vad_max_speech_duration_s == FLT_MAX ? + std::string("FLT_MAX").c_str() : + std::to_string(params.vad_max_speech_duration_s).c_str()); + fprintf(stderr, " -vp N, --vad_speech_pad_ms N [%-7d] VAD speech padding\n", params.vad_speech_pad_ms); + fprintf(stderr, " -vo N, --vad_samples_overlap N [%-7.2f] VAD samples overlap size\n", params.vad_samples_overlap); fprintf(stderr, "\n"); } @@ -1131,8 +1166,20 @@ int main(int argc, char ** argv) { wparams.suppress_nst = params.suppress_nst; + wparams.vad = params.vad; + wparams.vad_model_path = params.vad_model.c_str(); + wparams.vad_threshold = params.vad_threshold; + wparams.vad_min_speech_duration_ms = params.vad_min_speech_duration_ms; + wparams.vad_min_silence_duration_ms = params.vad_min_silence_duration_ms; + wparams.vad_max_speech_duration_s = params.vad_max_speech_duration_s; + wparams.vad_speech_pad_ms = params.vad_speech_pad_ms; + wparams.vad_window_size_samples = params.vad_window_size_samples; + wparams.vad_samples_overlap = params.vad_samples_overlap; + whisper_print_user_data user_data = { ¶ms, &pcmf32s, 0 }; + + const auto & grammar_parsed = params.grammar_parsed; auto grammar_rules = grammar_parsed.c_rules(); diff --git a/src/whisper.cpp b/src/whisper.cpp index efd456801c8..78244798f2f 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -4520,7 +4520,7 @@ static ggml_backend_buffer_type_t select_weight_buft(const whisper_vad_hparams & return nullptr; } -static ggml_tensor * whisper_vad_build_stft_layer(ggml_context* ctx0, +static ggml_tensor * whisper_vad_build_stft_layer(ggml_context * ctx0, const whisper_vad_model & model, ggml_tensor * cur) { // Apply reflective padding to the input tensor ggml_tensor * padded = ggml_pad_reflect_1d(ctx0, cur, 64, 64); @@ -4548,7 +4548,7 @@ static ggml_tensor * whisper_vad_build_stft_layer(ggml_context* ctx0, return magnitude; } -static ggml_tensor * whisper_vad_build_encoder_layer(ggml_context* ctx0, +static ggml_tensor * whisper_vad_build_encoder_layer(ggml_context * ctx0, const whisper_vad_model & model, ggml_tensor * cur) { // First Conv1D: expands to 128 channels. cur = ggml_conv_1d(ctx0, model.encoder_0_weight, cur, 1, 1, 1); @@ -4573,7 +4573,7 @@ static ggml_tensor * whisper_vad_build_encoder_layer(ggml_context* ctx0, return cur; } -static ggml_tensor * whisper_vad_build_lstm_layer(ggml_context* ctx0, +static ggml_tensor * whisper_vad_build_lstm_layer(ggml_context * ctx0, const whisper_vad_context & vctx, ggml_tensor * cur, ggml_cgraph * gf) { const whisper_vad_model & model = vctx.model; const int hdim = model.hparams.lstm_hidden_size; From eb23253beb79430e99e8f9ee12faee9090ad9ed2 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Mon, 28 Apr 2025 09:09:20 +0200 Subject: [PATCH 03/49] ci : add job to test VAD This commit adds a job to the CI pipeline to test the VAD model. This will only test the VAD model in isolation, that is it does not test whisper_full. --- .github/workflows/build.yml | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 7e8d461f077..ada1a312636 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -1253,3 +1253,23 @@ jobs: source venv/bin/activate pip install ane_transformers openai-whisper coremltools ./models/generate-coreml-model.sh ${{ env.MODEL_NAME }} + + vad: + if: ${{ github.event_name == 'push' || github.event_name == 'pull_request' || + github.event.inputs.run_type == 'full-ci' }} + runs-on: ubuntu-latest + + steps: + - name: Checkout + uses: actions/checkout@v4 + + - name: Build + shell: bash + run: | + cmake -B build + cmake --build build --config Release + + - name: Test + shell: bash + run: | + ctest -R ^test-vad$ --test-dir build --output-on-failure -VV From 59252c2bc73b4586f773348189c30f774801c859 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Fri, 2 May 2025 11:59:42 +0200 Subject: [PATCH 04/49] vad : map timestamps to original audio This commit adds a mapping of the original audio timestamps to the timestamps of the segments in the VAD (Voice Activity Detection) process. The motivation for this change is when we process the original audio signal and only pass the speech segments to whisper_full, the timestamps that whisper returnes when calling functions like whisper_full_get_segment_t0 are the timestamps for the "VAD" segments and not the original audio. The values are not identical to the the timestamps processed without VAD enabled but they are close, and hopefully close enough. --- src/whisper.cpp | 147 ++++++++++++++++++++++++++++++++++++++-- tests/test-vad-full.cpp | 4 ++ 2 files changed, 147 insertions(+), 4 deletions(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index 78244798f2f..2d2b933e037 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -952,6 +952,15 @@ struct whisper_state { // [EXPERIMENTAL] speed-up techniques int32_t exp_n_audio_ctx = 0; // 0 - use default + + struct vad_segment_info { + float orig_start; + float orig_end; + float vad_start; + float vad_end; + }; + std::vector vad_segments; + bool has_vad_segments = false; }; struct whisper_context { @@ -6699,6 +6708,10 @@ int whisper_full_with_state( struct whisper_vad_timestamps timestamps = whisper_vad_detect_speech_timestamps(vctx, vad_params, samples, n_samples); if (timestamps.n_segments > 0) { + state->has_vad_segments = true; + ctx->state->vad_segments.clear(); + ctx->state->vad_segments.reserve(timestamps.n_segments); + WHISPER_LOG_INFO("%s: detected %d speech segments\n", __func__, timestamps.n_segments); float overlap_seconds = params.vad_samples_overlap; int overlap_samples = overlap_seconds * WHISPER_SAMPLE_RATE; @@ -6748,6 +6761,19 @@ int whisper_full_with_state( int segment_length = segment_end_samples - segment_start_samples; if (segment_length > 0) { + whisper_state::vad_segment_info segment; + + segment.orig_start = timestamps.segments[i].start; + segment.orig_end = timestamps.segments[i].end; + + segment.vad_start = offset / (float)WHISPER_SAMPLE_RATE; + segment.vad_end = (offset + segment_length) / (float)WHISPER_SAMPLE_RATE; + + + WHISPER_LOG_INFO("%s: vad_segment_info: orig_start: %.2f, orig_end: %.2f, vad_start: %.2f, vad_end: %.2f\n", + __func__, segment.orig_start, segment.orig_end, segment.vad_start, segment.vad_end); + ctx->state->vad_segments.push_back(segment); + // Copy this speech segment memcpy(filtered_samples + offset, samples + segment_start_samples, segment_length * sizeof(float)); offset += segment_length; @@ -7822,19 +7848,132 @@ int whisper_full_lang_id(struct whisper_context * ctx) { } int64_t whisper_full_get_segment_t0_from_state(struct whisper_state * state, int i_segment) { - return state->result_all[i_segment].t0; + // If VAD wasn't used, return the original timestamp + if (!state->has_vad_segments || state->vad_segments.empty()) { + return state->result_all[i_segment].t0; + } + + // For the first segment, always start at 0 + if (i_segment == 0) { + return 0; + } + + // Get the start timestamp produced by whisper_full. whisper_full processes + // only the speech segments in this case so we need to map these timestamps + // back to the original audio. + float t0 = state->result_all[i_segment].t0 / 100.0f; + + // Find which VAD segment this timestamp belongs. + for (size_t i = 0; i < state->vad_segments.size(); i++) { + const auto& segment = state->vad_segments[i]; + + // Check if the timestamp falls within this segment. + if (t0 >= segment.vad_start && t0 <= segment.vad_end) { + float proportion = 0.0f; + if (segment.vad_end > segment.vad_start) { + proportion = (t0 - segment.vad_start) / (segment.vad_end - segment.vad_start); + } + float orig_t0 = segment.orig_start + proportion * (segment.orig_end - segment.orig_start); + return (int64_t)(orig_t0 * 100); + } + } + + // Check if the timestamp falls between two segments. + for (size_t i = 0; i < state->vad_segments.size() - 1; i++) { + const auto & curr = state->vad_segments[i]; + const auto & next = state->vad_segments[i + 1]; + + if (t0 > curr.vad_end && t0 < next.vad_start) { + // Calculate how far we are through the gap as a proportion + float gap_proportion = 0.0f; + if (next.vad_start > curr.vad_end) { + gap_proportion = (t0 - curr.vad_end) / (next.vad_start - curr.vad_end); + } + float orig_t0 = curr.orig_end + gap_proportion * (next.orig_start - curr.orig_end); + return (int64_t)(orig_t0 * 100); + } + } + + // Handle the case where the timestamp is after the last segment. + if (t0 > state->vad_segments.back().vad_end) { + // For timestamps after the last segment, add the extra time to the end of the last segment + const auto& last = state->vad_segments.back(); + // Calculate how far beyond the last segment + float extra_time = t0 - last.vad_end; + // Add this extra time to the original end time + float orig_t0 = last.orig_end + extra_time; + return (int64_t)(orig_t0 * 100); + } + + WHISPER_LOG_WARN("%s: Could not map t0 = %f to a VAD segment\n", __func__, t0); + return t0; } int64_t whisper_full_get_segment_t0(struct whisper_context * ctx, int i_segment) { - return ctx->state->result_all[i_segment].t0; + return whisper_full_get_segment_t0_from_state(ctx->state, i_segment); } int64_t whisper_full_get_segment_t1_from_state(struct whisper_state * state, int i_segment) { - return state->result_all[i_segment].t1; + // If VAD wasn't used, return the original timestamp + if (!state->has_vad_segments || state->vad_segments.empty()) { + return state->result_all[i_segment].t1; + } + + // Get the end timestamp produced by whisper_full. whisper_full processes + // only the speech segments in this case so we need to map these timestamps + // back to the original audio. + float t1 = state->result_all[i_segment].t1 / 100.0f; + + // Find which VAD segment this timestamp belongs. + for (size_t i = 0; i < state->vad_segments.size(); i++) { + const auto& segment = state->vad_segments[i]; + + // Check if the timestamp falls within this segment. + if (t1 >= segment.vad_start && t1 <= segment.vad_end) { + // Calculate the proportion through the filtered segment. + float proportion = 0.0f; + if (segment.vad_end > segment.vad_start) { + proportion = (t1 - segment.vad_start) / (segment.vad_end - segment.vad_start); + } + float orig_t1 = segment.orig_start + proportion * (segment.orig_end - segment.orig_start); + return (int64_t)(orig_t1 * 100); + } + } + + // Check if the timestamp falls between two segments. + for (size_t i = 0; i < state->vad_segments.size() - 1; i++) { + const auto & curr = state->vad_segments[i]; + const auto & next = state->vad_segments[i + 1]; + + if (t1 > curr.vad_end && t1 < next.vad_start) { + // Calculate how far we are through the gap as a proportion + float gap_proportion = 0.0f; + if (next.vad_start > curr.vad_end) { + gap_proportion = (t1 - curr.vad_end) / (next.vad_start - curr.vad_end); + } + // Map to the corresponding position in the original gap + float orig_t1 = curr.orig_end + gap_proportion * (next.orig_start - curr.orig_end); + return (int64_t)(orig_t1 * 100); + } + } + + // Handle the case where the timestamp is after the last segment + if (t1 > state->vad_segments.back().vad_end) { + // For the last segment, use the end of the last VAD segment + const auto& last = state->vad_segments.back(); + // Calculate how far beyond the last segment + float extra_time = t1 - last.vad_end; + // Add this extra time to the original end time + float orig_t1 = last.orig_end + extra_time; + return (int64_t)(orig_t1 * 100); + } + + WHISPER_LOG_WARN("%s: Could not map t1 = %f to a VAD segment\n", __func__, t1); + return t1; } int64_t whisper_full_get_segment_t1(struct whisper_context * ctx, int i_segment) { - return ctx->state->result_all[i_segment].t1; + return whisper_full_get_segment_t1_from_state(ctx->state, i_segment); } bool whisper_full_get_segment_speaker_turn_next_from_state(struct whisper_state * state, int i_segment) { diff --git a/tests/test-vad-full.cpp b/tests/test-vad-full.cpp index fb3e1987d69..2ef10a0495a 100644 --- a/tests/test-vad-full.cpp +++ b/tests/test-vad-full.cpp @@ -41,11 +41,15 @@ int main() { const int n_segments = whisper_full_n_segments(wctx); assert(n_segments == 2); + assert(strcmp("And so my fellow Americans ask not what you country can do for you.", whisper_full_get_segment_text(wctx, 0))); assert(strcmp("Ask what you can do for your country.", whisper_full_get_segment_text(wctx, 1))); + assert(whisper_full_get_segment_t0(wctx, 0) == 0); + assert(whisper_full_get_segment_t1(wctx, 1) == 1047); + whisper_free(wctx); return 0; From 37a36a33c43884a5cd6a4ddbebf2a8cf09849b83 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Sat, 3 May 2025 07:26:45 +0200 Subject: [PATCH 05/49] squash! vad : add initial Voice Activity Detection (VAD) support [no ci] Free filtered samples after VAD processing. --- src/whisper.cpp | 2 ++ 1 file changed, 2 insertions(+) diff --git a/src/whisper.cpp b/src/whisper.cpp index 2d2b933e037..c9ce688f633 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -6793,8 +6793,10 @@ int whisper_full_with_state( if (whisper_pcm_to_mel_with_state(ctx, state, filtered_samples, filtered_n_samples, params.n_threads) != 0) { WHISPER_LOG_ERROR("%s: failed to compute log mel spectrogram\n", __func__); + free(filtered_samples); return -2; } + free(filtered_samples); } else { WHISPER_LOG_INFO("%s: VAD: No speech detected in audio\n", __func__); // Abort processing if there is not audio detected? From 033c0ce28f4c56fffc16bdbaf02dcad79f10c232 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Sat, 3 May 2025 08:32:17 +0200 Subject: [PATCH 06/49] vad : extract VAD processing to a separate function This commit extracts the VAD processing from whisper_full_with_state to an separate function to make the code more readable. --- src/whisper.cpp | 227 +++++++++++++++++++++++++----------------------- 1 file changed, 120 insertions(+), 107 deletions(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index c9ce688f633..3d2c39d7d63 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -6681,133 +6681,146 @@ static void whisper_sequence_score( } } -int whisper_full_with_state( - struct whisper_context * ctx, - struct whisper_state * state, - struct whisper_full_params params, - const float * samples, - int n_samples) { - // clear old results - auto & result_all = state->result_all; +static bool whisper_vad( + struct whisper_context * ctx, + struct whisper_state * state, + struct whisper_full_params params, + const float * samples, + int n_samples, + float ** filtered_samples, + int & filtered_n_samples) { + WHISPER_LOG_INFO("%s: VAD is enabled, processing speach segments only\n", __func__); + struct whisper_vad_context_params vad_ctx_params = whisper_vad_default_context_params(); + struct whisper_vad_context * vctx = whisper_vad_init_from_file_with_params(params.vad_model_path, vad_ctx_params); + if (vctx == nullptr) { + WHISPER_LOG_ERROR("%s: failed to initialize VAD context\n", __func__); + return false; + } - result_all.clear(); + struct whisper_vad_params vad_params = whisper_vad_params_from(params); + struct whisper_vad_timestamps timestamps = whisper_vad_detect_speech_timestamps(vctx, vad_params, samples, n_samples); - float * filtered_samples = nullptr; - int filtered_n_samples = n_samples; - if (params.vad) { - WHISPER_LOG_INFO("%s: VAD is enabled, processing speach segments only\n", __func__); - struct whisper_vad_context_params vad_ctx_params = whisper_vad_default_context_params(); - struct whisper_vad_context * vctx = whisper_vad_init_from_file_with_params( - params.vad_model_path, - vad_ctx_params); - if (vctx == nullptr) { - WHISPER_LOG_ERROR("%s: failed to initialize VAD context\n", __func__); - return -1; + if (timestamps.n_segments > 0) { + state->has_vad_segments = true; + ctx->state->vad_segments.clear(); + ctx->state->vad_segments.reserve(timestamps.n_segments); + + WHISPER_LOG_INFO("%s: detected %d speech segments\n", __func__, timestamps.n_segments); + float overlap_seconds = params.vad_samples_overlap; + int overlap_samples = overlap_seconds * WHISPER_SAMPLE_RATE; + + filtered_n_samples = 0; + for (int i = 0; i < timestamps.n_segments; i++) { + int segment_start_samples = timestamps.segments[i].start * WHISPER_SAMPLE_RATE; + int segment_end_samples = timestamps.segments[i].end * WHISPER_SAMPLE_RATE; + + if (i < timestamps.n_segments - 1) { + segment_end_samples += overlap_samples; + } + segment_end_samples = std::min(segment_end_samples, n_samples - 1); + filtered_n_samples += (segment_end_samples - segment_start_samples); + + WHISPER_LOG_INFO("%s: Including segment %d: %.2f - %.2f (duration: %.2f)\n", + __func__, i, timestamps.segments[i].start, + timestamps.segments[i].end + (i < timestamps.n_segments - 1 ? overlap_seconds : 0), + (timestamps.segments[i].end - timestamps.segments[i].start) + + (i < timestamps.n_segments - 1 ? overlap_seconds : 0)); } - struct whisper_vad_params vad_params = whisper_vad_params_from(params); - struct whisper_vad_timestamps timestamps = whisper_vad_detect_speech_timestamps(vctx, vad_params, samples, n_samples); - if (timestamps.n_segments > 0) { - state->has_vad_segments = true; - ctx->state->vad_segments.clear(); - ctx->state->vad_segments.reserve(timestamps.n_segments); + int silence_samples = 0.1 * WHISPER_SAMPLE_RATE; + int total_silence_samples = (timestamps.n_segments > 1) ? (timestamps.n_segments - 1) * silence_samples : 0; + int total_samples_needed = filtered_n_samples + total_silence_samples; - WHISPER_LOG_INFO("%s: detected %d speech segments\n", __func__, timestamps.n_segments); - float overlap_seconds = params.vad_samples_overlap; - int overlap_samples = overlap_seconds * WHISPER_SAMPLE_RATE; + WHISPER_LOG_INFO("%s: total duration of speech segments: %.2f seconds\n", + __func__, (float)filtered_n_samples / WHISPER_SAMPLE_RATE); - filtered_n_samples = 0; - for (int i = 0; i < timestamps.n_segments; i++) { - int segment_start_samples = timestamps.segments[i].start * WHISPER_SAMPLE_RATE; - int segment_end_samples = timestamps.segments[i].end * WHISPER_SAMPLE_RATE; + *filtered_samples = (float*)malloc(total_samples_needed*sizeof(float)); + if (!filtered_samples) { + WHISPER_LOG_ERROR("%s: failed to allocate memory for filtered samples\n", __func__); + whisper_vad_free_timestamps(×tamps); + whisper_vad_free(vctx); + return false; + } - if (i < timestamps.n_segments - 1) { - segment_end_samples += overlap_samples; - } - segment_end_samples = std::min(segment_end_samples, n_samples - 1); - filtered_n_samples += (segment_end_samples - segment_start_samples); - - WHISPER_LOG_INFO("%s: Including segment %d: %.2f - %.2f (duration: %.2f)\n", - __func__, i, timestamps.segments[i].start, - timestamps.segments[i].end + (i < timestamps.n_segments - 1 ? overlap_seconds : 0), - (timestamps.segments[i].end - timestamps.segments[i].start) + - (i < timestamps.n_segments - 1 ? overlap_seconds : 0)); - } - int silence_samples = 0.1 * WHISPER_SAMPLE_RATE; - int total_silence_samples = (timestamps.n_segments > 1) ? (timestamps.n_segments - 1) * silence_samples : 0; - int total_samples_needed = filtered_n_samples + total_silence_samples; - - WHISPER_LOG_INFO("%s: total duration of speech segments: %.2f seconds\n", - __func__, (float)filtered_n_samples / WHISPER_SAMPLE_RATE); - - filtered_samples = (float*)malloc(total_samples_needed*sizeof(float)); - if (!filtered_samples) { - WHISPER_LOG_ERROR("%s: failed to allocate memory for filtered samples\n", __func__); - whisper_vad_free_timestamps(×tamps); - whisper_vad_free(vctx); - return -1; - } - int offset = 0; - for (int i = 0; i < timestamps.n_segments; i++) { - int segment_start_samples = timestamps.segments[i].start * WHISPER_SAMPLE_RATE; - int segment_end_samples = timestamps.segments[i].end * WHISPER_SAMPLE_RATE; + int offset = 0; + for (int i = 0; i < timestamps.n_segments; i++) { + int segment_start_samples = timestamps.segments[i].start * WHISPER_SAMPLE_RATE; + int segment_end_samples = timestamps.segments[i].end * WHISPER_SAMPLE_RATE; - if (i < timestamps.n_segments - 1) { - segment_end_samples += overlap_samples; - } + if (i < timestamps.n_segments - 1) { + segment_end_samples += overlap_samples; + } - segment_start_samples = std::min(segment_start_samples, n_samples - 1); - segment_end_samples = std::min(segment_end_samples, n_samples); - int segment_length = segment_end_samples - segment_start_samples; + segment_start_samples = std::min(segment_start_samples, n_samples - 1); + segment_end_samples = std::min(segment_end_samples, n_samples); + int segment_length = segment_end_samples - segment_start_samples; - if (segment_length > 0) { - whisper_state::vad_segment_info segment; + if (segment_length > 0) { + whisper_state::vad_segment_info segment; - segment.orig_start = timestamps.segments[i].start; - segment.orig_end = timestamps.segments[i].end; + segment.orig_start = timestamps.segments[i].start; + segment.orig_end = timestamps.segments[i].end; - segment.vad_start = offset / (float)WHISPER_SAMPLE_RATE; - segment.vad_end = (offset + segment_length) / (float)WHISPER_SAMPLE_RATE; + segment.vad_start = offset / (float)WHISPER_SAMPLE_RATE; + segment.vad_end = (offset + segment_length) / (float)WHISPER_SAMPLE_RATE; - WHISPER_LOG_INFO("%s: vad_segment_info: orig_start: %.2f, orig_end: %.2f, vad_start: %.2f, vad_end: %.2f\n", - __func__, segment.orig_start, segment.orig_end, segment.vad_start, segment.vad_end); - ctx->state->vad_segments.push_back(segment); + WHISPER_LOG_INFO("%s: vad_segment_info: orig_start: %.2f, orig_end: %.2f, vad_start: %.2f, vad_end: %.2f\n", + __func__, segment.orig_start, segment.orig_end, segment.vad_start, segment.vad_end); + ctx->state->vad_segments.push_back(segment); - // Copy this speech segment - memcpy(filtered_samples + offset, samples + segment_start_samples, segment_length * sizeof(float)); - offset += segment_length; + // Copy this speech segment + memcpy(*filtered_samples + offset, samples + segment_start_samples, segment_length * sizeof(float)); + offset += segment_length; - // Add silence after this segment (except after the last segment) - if (i < timestamps.n_segments - 1) { - // Fill with zeros (silence) - memset(filtered_samples + offset, 0, silence_samples * sizeof(float)); - offset += silence_samples; - } + // Add silence after this segment (except after the last segment) + if (i < timestamps.n_segments - 1) { + // Fill with zeros (silence) + memset(*filtered_samples + offset, 0, silence_samples * sizeof(float)); + offset += silence_samples; } } - filtered_n_samples = offset; - WHISPER_LOG_INFO("%s: Reduced audio from %d to %d samples (%.1f%% reduction)\n", - __func__, n_samples, filtered_n_samples, - 100.0f * (1.0f - (float)filtered_n_samples / n_samples)); + } + filtered_n_samples = offset; + WHISPER_LOG_INFO("%s: Reduced audio from %d to %d samples (%.1f%% reduction)\n", + __func__, n_samples, filtered_n_samples, 100.0f * (1.0f - (float)filtered_n_samples / n_samples)); + } + return true; +} - if (whisper_pcm_to_mel_with_state(ctx, state, filtered_samples, filtered_n_samples, params.n_threads) != 0) { - WHISPER_LOG_ERROR("%s: failed to compute log mel spectrogram\n", __func__); - free(filtered_samples); - return -2; - } - free(filtered_samples); - } else { - WHISPER_LOG_INFO("%s: VAD: No speech detected in audio\n", __func__); - // Abort processing if there is not audio detected? +int whisper_full_with_state( + struct whisper_context * ctx, + struct whisper_state * state, + struct whisper_full_params params, + const float * samples, + int n_samples) { + // clear old results + auto & result_all = state->result_all; + + result_all.clear(); + + const float * process_samples = samples; + int n_process_samples = n_samples; + std::unique_ptr vad_samples(nullptr, free); + + if (params.vad) { + WHISPER_LOG_INFO("%s: VAD is enabled, processing speach segments only\n", __func__); + float * raw_vad_samples = nullptr; + int vad_n_samples; + if (!whisper_vad(ctx, state, params, samples, n_samples, &raw_vad_samples, vad_n_samples)) { + WHISPER_LOG_ERROR("%s: failed to compute VAD\n", __func__); + return -1; } - } else { - if (n_samples > 0) { - // compute log mel spectrogram - if (whisper_pcm_to_mel_with_state(ctx, state, samples, n_samples, params.n_threads) != 0) { - WHISPER_LOG_ERROR("%s: failed to compute log mel spectrogram\n", __func__); - return -2; - } + vad_samples.reset(raw_vad_samples); + process_samples = vad_samples.get(); + n_process_samples = vad_n_samples; + } + + if (n_process_samples > 0) { + // compute log mel spectrogram + if (whisper_pcm_to_mel_with_state(ctx, state, process_samples, n_process_samples, params.n_threads) != 0) { + WHISPER_LOG_ERROR("%s: failed to compute log mel spectrogram\n", __func__); + return -2; } } From 028481e98c9a7577ea6d202b4fda528ddec5d4de Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Sun, 4 May 2025 10:15:01 +0200 Subject: [PATCH 07/49] vad : add TODOs to optimize segment access [no ci] --- src/whisper.cpp | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/src/whisper.cpp b/src/whisper.cpp index 3d2c39d7d63..f920a32b865 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -7879,6 +7879,9 @@ int64_t whisper_full_get_segment_t0_from_state(struct whisper_state * state, int float t0 = state->result_all[i_segment].t0 / 100.0f; // Find which VAD segment this timestamp belongs. + // TODO(danbev) This could be optimized by using a binary search if the number + // of segments exceed a certain limit. Also we might be able to assume that + // the access pattern is sequential and optimized for that too. for (size_t i = 0; i < state->vad_segments.size(); i++) { const auto& segment = state->vad_segments[i]; @@ -7940,6 +7943,9 @@ int64_t whisper_full_get_segment_t1_from_state(struct whisper_state * state, int float t1 = state->result_all[i_segment].t1 / 100.0f; // Find which VAD segment this timestamp belongs. + // TODO(danbev) This could be optimized by using a binary search if the number + // of segments exceed a certain limit. Also we might be able to assume that + // the access pattern is sequential and optimized for that too. for (size_t i = 0; i < state->vad_segments.size(); i++) { const auto& segment = state->vad_segments[i]; From fc7ebf20dc8e05ad02711480bd543ca9ca08234e Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Sun, 4 May 2025 13:46:43 +0200 Subject: [PATCH 08/49] vad : only use CPU backend for VAD processing [no ci] This commit modifies the VAD code to only use the CPU backend for VAD processing. There is currently an issue with the GPU backend which I need to investigate further. It is also not clear to me if running the VAD processing on a GPU is actually beneficial. --- src/whisper.cpp | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index f920a32b865..de5e40483fd 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -4875,12 +4875,15 @@ struct whisper_vad_context * whisper_vad_init_with_params_no_state(struct whispe buft_list_t buft_list = make_buft_list(wparams); auto create_tensor = [&](vad_tensor type, ggml_tensor * meta) -> ggml_tensor * { + /* TODO: Should GPU backend be used for VAD processing? ggml_op op = VAD_TENSOR_OPS.at(type); ggml_backend_buffer_type_t buft = select_weight_buft(hparams, meta, op, buft_list); if (!buft) { throw std::runtime_error(format("failed to find a compatible buffer type for tensor %s", VAD_TENSOR_NAMES.at(type))); } - + */ + // Only use CPU backend for now. + ggml_backend_buffer_type_t buft = ggml_backend_cpu_buffer_type(); ggml_context * ctx = get_ctx(buft); ggml_tensor * tensor = ggml_dup_tensor(ctx, meta); model.tensors[VAD_TENSOR_NAMES.at(type)] = tensor; From 3276232e8053de9ecb94d1d80e7e48ccc10ae770 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Sun, 4 May 2025 18:03:33 +0200 Subject: [PATCH 09/49] tests : fix strcmp assert and use beam search This commit fixes a mistake in the usage of strcmp where I missed the actual comparision evaluation. This commit also changes the sampling method from WHISPER_SAMPLING_GREEDY to WHISPER_SAMPLING_BEAM_SEARCH in the to match the default cli behavior. --- tests/test-vad-full.cpp | 14 ++++++-------- 1 file changed, 6 insertions(+), 8 deletions(-) diff --git a/tests/test-vad-full.cpp b/tests/test-vad-full.cpp index 2ef10a0495a..5471bf69d61 100644 --- a/tests/test-vad-full.cpp +++ b/tests/test-vad-full.cpp @@ -27,7 +27,7 @@ int main() { whisper_model_path.c_str(), cparams); - struct whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY); + struct whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_BEAM_SEARCH); wparams.vad = true; wparams.vad_model_path = vad_model_path.c_str(); wparams.vad_threshold = 0.5f; @@ -40,15 +40,13 @@ int main() { assert(whisper_full_parallel(wctx, wparams, pcmf32.data(), pcmf32.size(), 1) == 0); const int n_segments = whisper_full_n_segments(wctx); - assert(n_segments == 2); - - assert(strcmp("And so my fellow Americans ask not what you country can do for you.", - whisper_full_get_segment_text(wctx, 0))); - assert(strcmp("Ask what you can do for your country.", - whisper_full_get_segment_text(wctx, 1))); + assert(n_segments == 1); + assert(strcmp(" And so my fellow Americans, ask not what your country can do for you," + " ask what you can do for your country.", + whisper_full_get_segment_text(wctx, 0)) == 0); assert(whisper_full_get_segment_t0(wctx, 0) == 0); - assert(whisper_full_get_segment_t1(wctx, 1) == 1047); + assert(whisper_full_get_segment_t1(wctx, 0) == 1049); whisper_free(wctx); From abc05c5cafb1445ccc9f489a5395008df95d5179 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Wed, 7 May 2025 15:49:48 +0200 Subject: [PATCH 10/49] vad : dont reshape stft_forward_basis tensor --- models/convert-silero-vad-to-ggml.py | 2 +- models/for-tests-silero-v5.1.2-ggml.bin | Bin 885098 -> 885098 bytes src/whisper.cpp | 11 +++-------- 3 files changed, 4 insertions(+), 9 deletions(-) diff --git a/models/convert-silero-vad-to-ggml.py b/models/convert-silero-vad-to-ggml.py index 7caed2357b3..078131c91b3 100644 --- a/models/convert-silero-vad-to-ggml.py +++ b/models/convert-silero-vad-to-ggml.py @@ -129,7 +129,7 @@ def convert_silero_vad(output_path, print_tensors=True): # Ensure it has the expected shape print(f"STFT tensor original shape: {data.shape}") n_dims = 3 - tensor_shape = [data.shape[0], data.shape[1], data.shape[2]] + tensor_shape = [data.shape[2], data.shape[1], data.shape[0]] is_conv_weight = True else: # For other tensors, we can use standard processing diff --git a/models/for-tests-silero-v5.1.2-ggml.bin b/models/for-tests-silero-v5.1.2-ggml.bin index 5988dc1d14927b0a3dac30d7221d3ce5a79cb275..c5ddfb537476d36ec6247367769da5decd9bae14 100644 GIT binary patch delta 55 zcmaFWWcI4btf7Umg{g(Pg{6hHg{_6Xg`lne[2], model.stft_forward_basis->ne[1], model.stft_forward_basis->ne[0]); - struct ggml_tensor* stft = ggml_conv_1d(ctx0, stft_reshaped, padded, model.hparams.lstm_input_size, 0, 1); + struct ggml_tensor * stft = ggml_conv_1d(ctx0, model.stft_forward_basis, padded, model.hparams.lstm_input_size, 0, 1); // Calculate cutoff for real/imaginary parts - int cutoff = model.stft_forward_basis->ne[2] / 2 + 1; + int cutoff = model.stft_forward_basis->ne[2] / 2; // Extract real part (first half of the STFT output). struct ggml_tensor * real_part = ggml_view_2d(ctx0, stft, 4, cutoff, stft->nb[1], 0); @@ -4904,7 +4899,7 @@ struct whisper_vad_context * whisper_vad_init_with_params_no_state(struct whispe // SFTF precomputed basis matrix model.stft_forward_basis = create_tensor(VAD_TENSOR_STFT_BASIS, - ggml_new_tensor_3d(ctx, GGML_TYPE_F16, 258, 1, 256)); + ggml_new_tensor_3d(ctx, GGML_TYPE_F16, 256, 1, 258)); model.encoder_0_weight = create_tensor(VAD_TENSOR_ENC_0_WEIGHT, ggml_new_tensor_3d( From 0e18cebaceccf9d9e73909719a18744e01c9d0b3 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Wed, 7 May 2025 15:56:17 +0200 Subject: [PATCH 11/49] vad : use ggml_row_size() and rename hdim_bytes to hdim_size --- src/whisper.cpp | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index 18dffdb1d0f..2f4d3e4d2d4 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -4581,7 +4581,6 @@ static ggml_tensor * whisper_vad_build_lstm_layer(ggml_context * ctx0, const whisper_vad_context & vctx, ggml_tensor * cur, ggml_cgraph * gf) { const whisper_vad_model & model = vctx.model; const int hdim = model.hparams.lstm_hidden_size; - const int hdim_bytes = hdim * sizeof(float); struct ggml_tensor * x_t = ggml_cont(ctx0, ggml_transpose(ctx0, cur)); @@ -4605,18 +4604,19 @@ static ggml_tensor * whisper_vad_build_lstm_layer(ggml_context * ctx0, // Create add operation to get preactivations for all gates. struct ggml_tensor * out_gate = ggml_add(ctx0, inp_gate, hid_gate); + const size_t hdim_size = ggml_row_size(out_gate->type, hdim); // Create sigmoid for input gate (using the first 128 bytes from the preactivations). - struct ggml_tensor * i_t = ggml_sigmoid(ctx0, ggml_view_1d(ctx0, out_gate, hdim, 0 * hdim_bytes)); + struct ggml_tensor * i_t = ggml_sigmoid(ctx0, ggml_view_1d(ctx0, out_gate, hdim, 0 * hdim_size)); // Create sigmoid for the forget gate (using the second 128 bytes from the preactivations). - struct ggml_tensor * f_t = ggml_sigmoid(ctx0, ggml_view_1d(ctx0, out_gate, hdim, 1 * hdim_bytes)); + struct ggml_tensor * f_t = ggml_sigmoid(ctx0, ggml_view_1d(ctx0, out_gate, hdim, 1 * hdim_size)); // Create sigmoid for the cell gate (using the third 128 bytes from the preactivations). - struct ggml_tensor * g_t = ggml_tanh(ctx0, ggml_view_1d(ctx0, out_gate, hdim, 2 * hdim_bytes)); + struct ggml_tensor * g_t = ggml_tanh(ctx0, ggml_view_1d(ctx0, out_gate, hdim, 2 * hdim_size)); // Create sigmoid for the output gate (using the fourth 128 bytes from the preactivations). - struct ggml_tensor * o_t = ggml_sigmoid(ctx0, ggml_view_1d(ctx0, out_gate, hdim, 3 * hdim_bytes)); + struct ggml_tensor * o_t = ggml_sigmoid(ctx0, ggml_view_1d(ctx0, out_gate, hdim, 3 * hdim_size)); // Update cell state struct ggml_tensor * c_out = ggml_add(ctx0, From 9bf1b4b392b1e8beb597b4d050ac788bfb358382 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Wed, 7 May 2025 16:01:01 +0200 Subject: [PATCH 12/49] vad : remove unnecessary ggml_cont --- src/whisper.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index 2f4d3e4d2d4..b95ab1807d0 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -4582,7 +4582,7 @@ static ggml_tensor * whisper_vad_build_lstm_layer(ggml_context * ctx0, const whisper_vad_model & model = vctx.model; const int hdim = model.hparams.lstm_hidden_size; - struct ggml_tensor * x_t = ggml_cont(ctx0, ggml_transpose(ctx0, cur)); + struct ggml_tensor * x_t = ggml_transpose(ctx0, cur); // Hidden state from previous time step. struct ggml_tensor * h_in = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, hdim); From dc5299500cc300ebcb4c81237642fd28148746f7 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Wed, 7 May 2025 16:01:27 +0200 Subject: [PATCH 13/49] vad : fix typo in log message --- src/whisper.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index b95ab1807d0..af308e5510f 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -6802,7 +6802,7 @@ int whisper_full_with_state( std::unique_ptr vad_samples(nullptr, free); if (params.vad) { - WHISPER_LOG_INFO("%s: VAD is enabled, processing speach segments only\n", __func__); + WHISPER_LOG_INFO("%s: VAD is enabled, processing speech segments only\n", __func__); float * raw_vad_samples = nullptr; int vad_n_samples; if (!whisper_vad(ctx, state, params, samples, n_samples, &raw_vad_samples, vad_n_samples)) { From 2b0577334a6a06fa22941b4bd7b1f6ae9e32fc4b Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Wed, 7 May 2025 16:02:19 +0200 Subject: [PATCH 14/49] vad : don't use left leaning ref for segment --- src/whisper.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index af308e5510f..98bde8365c7 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -7881,7 +7881,7 @@ int64_t whisper_full_get_segment_t0_from_state(struct whisper_state * state, int // of segments exceed a certain limit. Also we might be able to assume that // the access pattern is sequential and optimized for that too. for (size_t i = 0; i < state->vad_segments.size(); i++) { - const auto& segment = state->vad_segments[i]; + const auto & segment = state->vad_segments[i]; // Check if the timestamp falls within this segment. if (t0 >= segment.vad_start && t0 <= segment.vad_end) { From 44bdef1bf0eacbe77c212054603abaf138420cb6 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Wed, 7 May 2025 16:29:39 +0200 Subject: [PATCH 15/49] vad : use std::vector instead float pointers --- src/whisper.cpp | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index 98bde8365c7..e66b587595e 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -6685,7 +6685,7 @@ static bool whisper_vad( struct whisper_full_params params, const float * samples, int n_samples, - float ** filtered_samples, + std::vector & filtered_samples, int & filtered_n_samples) { WHISPER_LOG_INFO("%s: VAD is enabled, processing speach segments only\n", __func__); struct whisper_vad_context_params vad_ctx_params = whisper_vad_default_context_params(); @@ -6732,8 +6732,10 @@ static bool whisper_vad( WHISPER_LOG_INFO("%s: total duration of speech segments: %.2f seconds\n", __func__, (float)filtered_n_samples / WHISPER_SAMPLE_RATE); - *filtered_samples = (float*)malloc(total_samples_needed*sizeof(float)); - if (!filtered_samples) { + try { + filtered_samples.reserve(total_samples_needed); + filtered_samples.resize(total_samples_needed); + } catch (const std::bad_alloc & /* e */) { WHISPER_LOG_ERROR("%s: failed to allocate memory for filtered samples\n", __func__); whisper_vad_free_timestamps(×tamps); whisper_vad_free(vctx); @@ -6768,13 +6770,13 @@ static bool whisper_vad( ctx->state->vad_segments.push_back(segment); // Copy this speech segment - memcpy(*filtered_samples + offset, samples + segment_start_samples, segment_length * sizeof(float)); + memcpy(filtered_samples.data() + offset, samples + segment_start_samples, segment_length * sizeof(float)); offset += segment_length; // Add silence after this segment (except after the last segment) if (i < timestamps.n_segments - 1) { // Fill with zeros (silence) - memset(*filtered_samples + offset, 0, silence_samples * sizeof(float)); + memset(filtered_samples.data() + offset, 0, silence_samples * sizeof(float)); offset += silence_samples; } } @@ -6799,18 +6801,16 @@ int whisper_full_with_state( const float * process_samples = samples; int n_process_samples = n_samples; - std::unique_ptr vad_samples(nullptr, free); + std::vector vad_samples; if (params.vad) { WHISPER_LOG_INFO("%s: VAD is enabled, processing speech segments only\n", __func__); - float * raw_vad_samples = nullptr; int vad_n_samples; - if (!whisper_vad(ctx, state, params, samples, n_samples, &raw_vad_samples, vad_n_samples)) { + if (!whisper_vad(ctx, state, params, samples, n_samples, vad_samples, vad_n_samples)) { WHISPER_LOG_ERROR("%s: failed to compute VAD\n", __func__); return -1; } - vad_samples.reset(raw_vad_samples); - process_samples = vad_samples.get(); + process_samples = vad_samples.data(); n_process_samples = vad_n_samples; } From 27eb59bd1605852113fc125fc398df3e2cebbe4e Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Thu, 8 May 2025 06:33:05 +0200 Subject: [PATCH 16/49] vad : enable GPU support for VAD but default to false This commit enables GPU support for VAD processing but defaults to false as there is an issue with this that I've get to figure out. I'll revisit this in the near future. --- src/whisper-arch.h | 12 ++++++------ src/whisper.cpp | 19 ++++++++++--------- tests/test-vad.cpp | 4 +++- 3 files changed, 19 insertions(+), 16 deletions(-) diff --git a/src/whisper-arch.h b/src/whisper-arch.h index 4253a88209b..3a65ff35aa0 100644 --- a/src/whisper-arch.h +++ b/src/whisper-arch.h @@ -159,14 +159,14 @@ enum vad_tensor { }; static const std::map VAD_TENSOR_OPS = { - {VAD_TENSOR_STFT_BASIS, GGML_OP_MUL_MAT}, - {VAD_TENSOR_ENC_0_WEIGHT, GGML_OP_MUL_MAT}, + {VAD_TENSOR_STFT_BASIS, GGML_OP_IM2COL}, + {VAD_TENSOR_ENC_0_WEIGHT, GGML_OP_IM2COL}, {VAD_TENSOR_ENC_0_BIAS, GGML_OP_ADD}, - {VAD_TENSOR_ENC_1_WEIGHT, GGML_OP_MUL_MAT}, + {VAD_TENSOR_ENC_1_WEIGHT, GGML_OP_IM2COL}, {VAD_TENSOR_ENC_1_BIAS, GGML_OP_ADD}, - {VAD_TENSOR_ENC_2_WEIGHT, GGML_OP_MUL_MAT}, + {VAD_TENSOR_ENC_2_WEIGHT, GGML_OP_IM2COL}, {VAD_TENSOR_ENC_2_BIAS, GGML_OP_ADD}, - {VAD_TENSOR_ENC_3_WEIGHT, GGML_OP_MUL_MAT}, + {VAD_TENSOR_ENC_3_WEIGHT, GGML_OP_IM2COL}, {VAD_TENSOR_ENC_3_BIAS, GGML_OP_ADD}, {VAD_TENSOR_LSTM_WEIGHT_IH, GGML_OP_MUL_MAT}, @@ -174,7 +174,7 @@ static const std::map VAD_TENSOR_OPS = { {VAD_TENSOR_LSTM_BIAS_IH, GGML_OP_ADD}, {VAD_TENSOR_LSTM_BIAS_HH, GGML_OP_ADD}, - {VAD_TENSOR_FINAL_CONV_WEIGHT, GGML_OP_MUL_MAT}, + {VAD_TENSOR_FINAL_CONV_WEIGHT, GGML_OP_IM2COL}, {VAD_TENSOR_FINAL_CONV_BIAS, GGML_OP_ADD} }; diff --git a/src/whisper.cpp b/src/whisper.cpp index e66b587595e..364dbc6b679 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -4372,7 +4372,7 @@ struct whisper_vad_model { std::string version; whisper_vad_hparams hparams; - struct ggml_tensor * stft_forward_basis; // [256, 258] + struct ggml_tensor * stft_forward_basis; // [256, 1, 258] // Encoder tensors - 4 convolutional layers struct ggml_tensor * encoder_0_weight; // [3, 129, 128] @@ -4424,8 +4424,6 @@ struct whisper_vad_context { int n_window; int n_context; int n_threads; - bool use_gpu; - int gpu_device; whisper_vad_model model; whisper_vad_state * state = nullptr; @@ -4438,7 +4436,9 @@ struct whisper_vad_context { struct whisper_vad_context_params whisper_vad_default_context_params(void) { whisper_vad_context_params result = { /*.n_thread = */ 4, - /*.use_gpu = */ true, + // TODO(danbev) Default to true when CUDA GPU support is working: + // https://github.com/ggml-org/whisper.cpp/pull/3065#issuecomment-2858583911 + /*.use_gpu = */ false, /*.gpu_device = */ 0, }; return result; @@ -4680,7 +4680,10 @@ static struct ggml_cgraph * whisper_vad_build_graph(whisper_vad_context & vctx, struct whisper_vad_state * whisper_vad_init_state(whisper_vad_context * ctx) { whisper_vad_state * state = new whisper_vad_state; - state->backends = whisper_backend_init(ctx->params); + auto whisper_context_params = whisper_context_default_params(); + whisper_context_params.use_gpu = ctx->params.use_gpu; + whisper_context_params.gpu_device = ctx->params.gpu_device; + state->backends = whisper_backend_init(whisper_context_params); if (state->backends.empty()) { WHISPER_LOG_ERROR("%s: whisper_backend_init() failed\n", __func__); whisper_vad_free_state(state); @@ -4777,6 +4780,8 @@ struct whisper_vad_context * whisper_vad_init_with_params_no_state(struct whispe whisper_vad_context * vctx = new whisper_vad_context; vctx->n_threads = params.n_threads; + vctx->params.use_gpu = params.use_gpu; + vctx->params.gpu_device = params.gpu_device; auto & model = vctx->model; auto & hparams = model.hparams; @@ -4870,15 +4875,11 @@ struct whisper_vad_context * whisper_vad_init_with_params_no_state(struct whispe buft_list_t buft_list = make_buft_list(wparams); auto create_tensor = [&](vad_tensor type, ggml_tensor * meta) -> ggml_tensor * { - /* TODO: Should GPU backend be used for VAD processing? ggml_op op = VAD_TENSOR_OPS.at(type); ggml_backend_buffer_type_t buft = select_weight_buft(hparams, meta, op, buft_list); if (!buft) { throw std::runtime_error(format("failed to find a compatible buffer type for tensor %s", VAD_TENSOR_NAMES.at(type))); } - */ - // Only use CPU backend for now. - ggml_backend_buffer_type_t buft = ggml_backend_cpu_buffer_type(); ggml_context * ctx = get_ctx(buft); ggml_tensor * tensor = ggml_dup_tensor(ctx, meta); model.tensors[VAD_TENSOR_NAMES.at(type)] = tensor; diff --git a/tests/test-vad.cpp b/tests/test-vad.cpp index 0061dea2b58..4cfd5fa038c 100644 --- a/tests/test-vad.cpp +++ b/tests/test-vad.cpp @@ -19,7 +19,9 @@ void assert_default_params(const struct whisper_vad_params & params) { void assert_default_context_params(const struct whisper_vad_context_params & params) { assert(params.n_threads == 4); - assert(params.use_gpu == true); + // TODO(danbev) Updated this check one CUDA GPU support is stable and the + // default changed to true. + assert(params.use_gpu == false); assert(params.gpu_device == 0); } From 643a91bfc8bddcd0e302ac9765b0147e46f6d68e Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Thu, 8 May 2025 06:37:43 +0200 Subject: [PATCH 17/49] vad : use kebab-case and not snake_case for VAD options --- examples/cli/cli.cpp | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/examples/cli/cli.cpp b/examples/cli/cli.cpp index 152e5982f47..27ce67898cb 100644 --- a/examples/cli/cli.cpp +++ b/examples/cli/cli.cpp @@ -201,12 +201,12 @@ static bool whisper_params_parse(int argc, char ** argv, whisper_params & params else if (arg == "-v" || arg == "--vad") { params.vad = true; } else if (arg == "-vm" || arg == "--vad-model") { params.vad_model = ARGV_NEXT; } else if (arg == "-vt" || arg == "--vad-threshold") { params.vad_threshold = std::stof(ARGV_NEXT); } - else if (arg == "-vsd" || arg == "--vad_min_speech_duration_ms") { params.vad_min_speech_duration_ms = std::stoi(ARGV_NEXT); } - else if (arg == "-vsd" || arg == "--vad_min_silence_duration_ms") { params.vad_min_speech_duration_ms = std::stoi(ARGV_NEXT); } - else if (arg == "-vmsd" || arg == "--vad_max_speech_duration_s") { params.vad_max_speech_duration_s = std::stof(ARGV_NEXT); } - else if (arg == "-vp" || arg == "--vad_speech_pad_ms") { params.vad_speech_pad_ms = std::stoi(ARGV_NEXT); } - else if (arg == "-vs" || arg == "--vad_window_size_samples") { params.vad_window_size_samples = std::stoi(ARGV_NEXT); } - else if (arg == "-vo" || arg == "--vad_samples_overlap") { params.vad_samples_overlap = std::stof(ARGV_NEXT); } + else if (arg == "-vsd" || arg == "--vad-min-speech-duration-ms") { params.vad_min_speech_duration_ms = std::stoi(ARGV_NEXT); } + else if (arg == "-vsd" || arg == "--vad-min-silence-duration-ms") { params.vad_min_speech_duration_ms = std::stoi(ARGV_NEXT); } + else if (arg == "-vmsd" || arg == "--vad-max-speech-duration-s") { params.vad_max_speech_duration_s = std::stof(ARGV_NEXT); } + else if (arg == "-vp" || arg == "--vad-speech-pad-ms") { params.vad_speech_pad_ms = std::stoi(ARGV_NEXT); } + else if (arg == "-vs" || arg == "--vad-window-size-samples") { params.vad_window_size_samples = std::stoi(ARGV_NEXT); } + else if (arg == "-vo" || arg == "--vad-samples-overlap") { params.vad_samples_overlap = std::stof(ARGV_NEXT); } else { fprintf(stderr, "error: unknown argument: %s\n", arg.c_str()); whisper_print_usage(argc, argv, params); @@ -281,10 +281,10 @@ static void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params fprintf(stderr, " -v, --vad [%-7s] enable Voice Activity Detection (VAD)\n", params.vad ? "true" : "false"); fprintf(stderr, " -vm FNAME, --vad-model FNAME [%-7s] VAD model path\n", params.vad_model.c_str()); fprintf(stderr, " -vt N, --vad-threshold N [%-7.2f] VAD threshold for speech recognition\n", params.vad_threshold); - fprintf(stderr, " -vs N, --vad_window_size_samples N [%-7d] VAD window size\n", params.vad_window_size_samples); - fprintf(stderr, " -vspd N, --vad_min_speech_duration_ms N [%-7d] VAD min speech duration\n", params.vad_min_speech_duration_ms); - fprintf(stderr, " -vsd N, --vad_min_silence_duration_ms N [%-7d] VAD min silence duration\n", params.vad_min_silence_duration_ms); - fprintf(stderr, " -vmsd N, --vad_max_speech_duration_s N [%-7s] VAD max speech duration\n", params.vad_max_speech_duration_s == FLT_MAX ? + fprintf(stderr, " -vs N, --vad-window-size-samples N [%-7d] VAD window size\n", params.vad_window_size_samples); + fprintf(stderr, " -vspd N, --vad-min-speech-duration-ms N [%-7d] VAD min speech duration\n", params.vad_min_speech_duration_ms); + fprintf(stderr, " -vsd N, --vad-min-silence-duration-ms N [%-7d] VAD min silence duration\n", params.vad_min_silence_duration_ms); + fprintf(stderr, " -vmsd N, --vad-max-speech-duration-s N [%-7s] VAD max speech duration\n", params.vad_max_speech_duration_s == FLT_MAX ? std::string("FLT_MAX").c_str() : std::to_string(params.vad_max_speech_duration_s).c_str()); fprintf(stderr, " -vp N, --vad_speech_pad_ms N [%-7d] VAD speech padding\n", params.vad_speech_pad_ms); From e4d43072b7114a1ce374ad8238bbc5b05b0c047b Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Thu, 8 May 2025 09:54:37 +0200 Subject: [PATCH 18/49] vad : add h_state and c_state to whisper_vad_state This commit adds two new members, h_state and c_state, to the whisper_vad_state structure. These members are used to store the hidden and cell states to avoid having to get and set the LSTM states in the processing. Refs: https://github.com/ggml-org/whisper.cpp/pull/3065#discussion_r2077487936 --- src/whisper.cpp | 86 +++++++++++++++++++++++-------------------------- 1 file changed, 40 insertions(+), 46 deletions(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index 364dbc6b679..6a137be9bc4 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -4414,6 +4414,9 @@ struct whisper_vad_model { struct whisper_vad_state { std::vector backends; + struct ggml_tensor * h_state; + struct ggml_tensor * c_state; + whisper_sched sched; }; @@ -4584,22 +4587,12 @@ static ggml_tensor * whisper_vad_build_lstm_layer(ggml_context * ctx0, struct ggml_tensor * x_t = ggml_transpose(ctx0, cur); - // Hidden state from previous time step. - struct ggml_tensor * h_in = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, hdim); - ggml_set_name(h_in, "h_in"); - ggml_set_input(h_in); - - // Cell state from all previous time steps. - struct ggml_tensor * c_in = ggml_new_tensor_1d(ctx0, GGML_TYPE_F32, hdim); - ggml_set_name(c_in, "c_in"); - ggml_set_input(c_in); - // Create operations using the input-to-hidden weights. struct ggml_tensor * inp_gate = ggml_mul_mat(ctx0, model.lstm_ih_weight, x_t); inp_gate = ggml_add(ctx0, inp_gate, model.lstm_ih_bias); // Create operations using the hidden-to-hidden weights. - struct ggml_tensor * hid_gate = ggml_mul_mat(ctx0, model.lstm_hh_weight, h_in); + struct ggml_tensor * hid_gate = ggml_mul_mat(ctx0, model.lstm_hh_weight, vctx.state->h_state); hid_gate = ggml_add(ctx0, hid_gate, model.lstm_hh_bias); // Create add operation to get preactivations for all gates. @@ -4620,26 +4613,22 @@ static ggml_tensor * whisper_vad_build_lstm_layer(ggml_context * ctx0, // Update cell state struct ggml_tensor * c_out = ggml_add(ctx0, - ggml_mul(ctx0, f_t, c_in), + ggml_mul(ctx0, f_t, vctx.state->c_state), ggml_mul(ctx0, i_t, g_t)); - ggml_set_output(c_out); - ggml_set_name(c_out, "c_out"); - ggml_build_forward_expand(gf, c_out); + ggml_build_forward_expand(gf, ggml_cpy(ctx0, c_out, vctx.state->c_state)); // Update hidden state struct ggml_tensor * out = ggml_mul(ctx0, o_t, ggml_tanh(ctx0, c_out)); - ggml_set_output(out); - ggml_set_name(out, "h_out"); + ggml_build_forward_expand(gf, ggml_cpy(ctx0, out, vctx.state->h_state)); return out; } -static struct ggml_cgraph * whisper_vad_build_graph(whisper_vad_context & vctx, - whisper_vad_state & vstate) { +static struct ggml_cgraph * whisper_vad_build_graph(whisper_vad_context & vctx) { const auto & model = vctx.model; struct ggml_init_params params = { - /*.mem_size =*/ vstate.sched.meta.size(), - /*.mem_buffer =*/ vstate.sched.meta.data(), + /*.mem_size =*/ vctx.state->sched.meta.size(), + /*.mem_buffer =*/ vctx.state->sched.meta.data(), /*.no_alloc =*/ true, }; @@ -4677,12 +4666,13 @@ static struct ggml_cgraph * whisper_vad_build_graph(whisper_vad_context & vctx, return gf; } -struct whisper_vad_state * whisper_vad_init_state(whisper_vad_context * ctx) { +struct whisper_vad_state * whisper_vad_init_state(whisper_vad_context * vctx) { whisper_vad_state * state = new whisper_vad_state; + vctx->state = state; auto whisper_context_params = whisper_context_default_params(); - whisper_context_params.use_gpu = ctx->params.use_gpu; - whisper_context_params.gpu_device = ctx->params.gpu_device; + whisper_context_params.use_gpu = vctx->params.use_gpu; + whisper_context_params.gpu_device = vctx->params.gpu_device; state->backends = whisper_backend_init(whisper_context_params); if (state->backends.empty()) { WHISPER_LOG_ERROR("%s: whisper_backend_init() failed\n", __func__); @@ -4690,10 +4680,30 @@ struct whisper_vad_state * whisper_vad_init_state(whisper_vad_context * ctx) { return nullptr; } + int32_t lstm_hidden_size = vctx->model.hparams.lstm_hidden_size; + struct ggml_init_params params = { + /*.mem_size =*/ size_t(2u*lstm_hidden_size*ggml_tensor_overhead()), + /*.mem_buffer =*/ NULL, + /*.no_alloc =*/ true, + }; + ggml_context * ctx = ggml_init(params); + if (!ctx) { + WHISPER_LOG_ERROR("%s: failed to init LSTM state ggml context\n", __func__); + return nullptr; + } + + // LSTM Hidden state + state->h_state = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, lstm_hidden_size); + ggml_set_name(state->h_state, "h_state"); + + // LSTM Cell state + state->c_state = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, lstm_hidden_size); + ggml_set_name(state->c_state, "c_state"); + { bool ok = whisper_sched_graph_init(state->sched, state->backends, [&]() { - return whisper_vad_build_graph(*ctx, *state); + return whisper_vad_build_graph(*vctx); }); if (!ok) { @@ -4715,7 +4725,7 @@ struct whisper_vad_context * whisper_vad_init_from_file_with_params( return nullptr; } - ctx->state = whisper_vad_init_state(ctx); + whisper_vad_init_state(ctx); if (!ctx->state) { whisper_vad_free(ctx); return nullptr; @@ -5088,7 +5098,6 @@ struct whisper_vad_context * whisper_vad_init_with_params_no_state(struct whispe struct whisper_vad_speech whisper_vad_detect_speech(struct whisper_vad_context * vctx, const float * pcmf32, int n_samples) { - const int hidden_dim = vctx->model.hparams.lstm_hidden_size; int n_chunks = n_samples / vctx->n_window; if (n_samples % vctx->n_window != 0) { n_chunks += 1; // Add one more chunk for remaining samples. @@ -5098,7 +5107,7 @@ struct whisper_vad_speech whisper_vad_detect_speech(struct whisper_vad_context * WHISPER_LOG_INFO("%s: detecting speech in %d samples\n", __func__, n_samples); WHISPER_LOG_INFO("%s: n_chunks: %d\n", __func__, n_chunks); - ggml_cgraph * gf = whisper_vad_build_graph(*vctx, *vctx->state); + ggml_cgraph * gf = whisper_vad_build_graph(*vctx); if (!ggml_backend_sched_alloc_graph(sched, gf)) { WHISPER_LOG_ERROR("%s: failed to allocate the compute buffer\n", __func__); @@ -5106,20 +5115,12 @@ struct whisper_vad_speech whisper_vad_detect_speech(struct whisper_vad_context * } struct ggml_tensor * frame = ggml_graph_get_tensor(gf, "frame"); - struct ggml_tensor * c_out = ggml_graph_get_tensor(gf, "c_out"); - struct ggml_tensor * h_out = ggml_graph_get_tensor(gf, "h_out"); - struct ggml_tensor * c_in = ggml_graph_get_tensor(gf, "c_in"); - struct ggml_tensor * h_in = ggml_graph_get_tensor(gf, "h_in"); struct ggml_tensor * prob = ggml_graph_get_tensor(gf, "prob"); - - ggml_set_zero(c_out); - ggml_set_zero(h_out); ggml_set_zero(prob); - ggml_set_zero(c_in); - ggml_set_zero(h_in); - std::vector h_state(hidden_dim, 0.0f); - std::vector c_state(hidden_dim, 0.0f); + // Reset LSTM hidden/cell states + ggml_set_zero(vctx->state->h_state); + ggml_set_zero(vctx->state->c_state); float * probs= new float[n_chunks]; WHISPER_LOG_INFO("%s: props size: %u\n", __func__, n_chunks); @@ -5152,18 +5153,11 @@ struct whisper_vad_speech whisper_vad_detect_speech(struct whisper_vad_context * // Set the frame tensor data with the samples. ggml_backend_tensor_set(frame, window.data(), 0, ggml_nelements(frame) * sizeof(float)); - ggml_backend_tensor_set(h_in, h_state.data(), 0, hidden_dim * sizeof(float)); - ggml_backend_tensor_set(c_in, c_state.data(), 0, hidden_dim * sizeof(float)); - if (!ggml_graph_compute_helper(sched, gf, vctx->n_threads)) { WHISPER_LOG_ERROR("%s: failed to compute VAD graph\n", __func__); break; } - // Update the LSTM states - ggml_backend_tensor_get(h_out, h_state.data(), 0, hidden_dim * sizeof(float)); - ggml_backend_tensor_get(c_out, c_state.data(), 0, hidden_dim * sizeof(float)); - // Get the probability for this chunk. ggml_backend_tensor_get(prob, &probs[i], 0, sizeof(float)); From 94c3aba8bd5c9fcb16b44ec3114c1234504ad349 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Thu, 8 May 2025 10:10:35 +0200 Subject: [PATCH 19/49] vad : always initialize filtered_n_samples to 0 This is to avoid the case when not segments are found which would lead to the filtered_n_samples being uninitialized and causing a segfault. --- src/whisper.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index 6a137be9bc4..88ddc7d44df 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -6683,6 +6683,7 @@ static bool whisper_vad( std::vector & filtered_samples, int & filtered_n_samples) { WHISPER_LOG_INFO("%s: VAD is enabled, processing speach segments only\n", __func__); + filtered_n_samples = 0; struct whisper_vad_context_params vad_ctx_params = whisper_vad_default_context_params(); struct whisper_vad_context * vctx = whisper_vad_init_from_file_with_params(params.vad_model_path, vad_ctx_params); if (vctx == nullptr) { @@ -6702,7 +6703,6 @@ static bool whisper_vad( float overlap_seconds = params.vad_samples_overlap; int overlap_samples = overlap_seconds * WHISPER_SAMPLE_RATE; - filtered_n_samples = 0; for (int i = 0; i < timestamps.n_segments; i++) { int segment_start_samples = timestamps.segments[i].start * WHISPER_SAMPLE_RATE; int segment_end_samples = timestamps.segments[i].end * WHISPER_SAMPLE_RATE; From e70e486111d32bf607ff9179a785e5cd2af88f94 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Thu, 8 May 2025 12:47:28 +0200 Subject: [PATCH 20/49] vad : use orig timestamp for first segment This commit removes the handling of the first segment which ensured that it always started at zero. This was not correct and we should have been showing the original timestamp that was stored by the VAD processing. There might be better ways to handle this alighment of timestamps perhaps should investigate this further. --- src/whisper.cpp | 5 ----- tests/test-vad-full.cpp | 2 +- 2 files changed, 1 insertion(+), 6 deletions(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index 88ddc7d44df..7f394ef1a1b 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -7861,11 +7861,6 @@ int64_t whisper_full_get_segment_t0_from_state(struct whisper_state * state, int return state->result_all[i_segment].t0; } - // For the first segment, always start at 0 - if (i_segment == 0) { - return 0; - } - // Get the start timestamp produced by whisper_full. whisper_full processes // only the speech segments in this case so we need to map these timestamps // back to the original audio. diff --git a/tests/test-vad-full.cpp b/tests/test-vad-full.cpp index 5471bf69d61..3aed0784553 100644 --- a/tests/test-vad-full.cpp +++ b/tests/test-vad-full.cpp @@ -45,7 +45,7 @@ int main() { assert(strcmp(" And so my fellow Americans, ask not what your country can do for you," " ask what you can do for your country.", whisper_full_get_segment_text(wctx, 0)) == 0); - assert(whisper_full_get_segment_t0(wctx, 0) == 0); + assert(whisper_full_get_segment_t0(wctx, 0) == 29); assert(whisper_full_get_segment_t1(wctx, 0) == 1049); whisper_free(wctx); From 436baeb75ceb900facee47e902470a8604e3d52d Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Fri, 9 May 2025 10:17:52 +0300 Subject: [PATCH 21/49] vad : fix buffers and enable GPU support by default --- src/whisper.cpp | 82 +++++++++++++++++++++++++++++++++---------------- 1 file changed, 55 insertions(+), 27 deletions(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index 7f394ef1a1b..7d5e2310830 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -166,7 +166,6 @@ static bool ggml_graph_compute_helper( int n_threads, ggml_abort_callback abort_callback, void * abort_callback_data) { - ggml_backend_ptr backend { ggml_backend_init_by_type(GGML_BACKEND_DEVICE_TYPE_CPU, nullptr) }; auto * reg = ggml_backend_dev_backend_reg(ggml_backend_get_device(backend.get())); @@ -187,8 +186,8 @@ static bool ggml_graph_compute_helper( static bool ggml_graph_compute_helper( ggml_backend_sched_t sched, struct ggml_cgraph * graph, - int n_threads) { - + int n_threads, + bool sched_reset = true) { for (int i = 0; i < ggml_backend_sched_get_n_backends(sched); ++i) { ggml_backend_t backend = ggml_backend_sched_get_backend(sched, i); ggml_backend_dev_t dev = ggml_backend_get_device(backend); @@ -200,8 +199,12 @@ static bool ggml_graph_compute_helper( } } - bool t = ggml_backend_sched_graph_compute(sched, graph) == GGML_STATUS_SUCCESS; - ggml_backend_sched_reset(sched); + const bool t = (ggml_backend_sched_graph_compute(sched, graph) == GGML_STATUS_SUCCESS); + + if (!t || sched_reset) { + ggml_backend_sched_reset(sched); + } + return t; } @@ -4417,6 +4420,10 @@ struct whisper_vad_state { struct ggml_tensor * h_state; struct ggml_tensor * c_state; + ggml_backend_buffer_t buffer = nullptr; + + std::vector ctx_buf; + whisper_sched sched; }; @@ -4439,9 +4446,7 @@ struct whisper_vad_context { struct whisper_vad_context_params whisper_vad_default_context_params(void) { whisper_vad_context_params result = { /*.n_thread = */ 4, - // TODO(danbev) Default to true when CUDA GPU support is working: - // https://github.com/ggml-org/whisper.cpp/pull/3065#issuecomment-2858583911 - /*.use_gpu = */ false, + /*.use_gpu = */ true, /*.gpu_device = */ 0, }; return result; @@ -4597,6 +4602,7 @@ static ggml_tensor * whisper_vad_build_lstm_layer(ggml_context * ctx0, // Create add operation to get preactivations for all gates. struct ggml_tensor * out_gate = ggml_add(ctx0, inp_gate, hid_gate); + const size_t hdim_size = ggml_row_size(out_gate->type, hdim); // Create sigmoid for input gate (using the first 128 bytes from the preactivations). @@ -4619,12 +4625,13 @@ static ggml_tensor * whisper_vad_build_lstm_layer(ggml_context * ctx0, // Update hidden state struct ggml_tensor * out = ggml_mul(ctx0, o_t, ggml_tanh(ctx0, c_out)); - ggml_build_forward_expand(gf, ggml_cpy(ctx0, out, vctx.state->h_state)); + ggml_build_forward_expand(gf, ggml_cpy(ctx0, out, vctx.state->h_state)); + return out; } static struct ggml_cgraph * whisper_vad_build_graph(whisper_vad_context & vctx) { - const auto & model = vctx.model; + const auto & model = vctx.model; struct ggml_init_params params = { /*.mem_size =*/ vctx.state->sched.meta.size(), @@ -4673,6 +4680,7 @@ struct whisper_vad_state * whisper_vad_init_state(whisper_vad_context * vctx) { auto whisper_context_params = whisper_context_default_params(); whisper_context_params.use_gpu = vctx->params.use_gpu; whisper_context_params.gpu_device = vctx->params.gpu_device; + state->backends = whisper_backend_init(whisper_context_params); if (state->backends.empty()) { WHISPER_LOG_ERROR("%s: whisper_backend_init() failed\n", __func__); @@ -4680,15 +4688,20 @@ struct whisper_vad_state * whisper_vad_init_state(whisper_vad_context * vctx) { return nullptr; } - int32_t lstm_hidden_size = vctx->model.hparams.lstm_hidden_size; + const int32_t lstm_hidden_size = vctx->model.hparams.lstm_hidden_size; + + state->ctx_buf.resize(2u*ggml_tensor_overhead()); + struct ggml_init_params params = { - /*.mem_size =*/ size_t(2u*lstm_hidden_size*ggml_tensor_overhead()), - /*.mem_buffer =*/ NULL, + /*.mem_size =*/ state->ctx_buf.size(), + /*.mem_buffer =*/ state->ctx_buf.data(), /*.no_alloc =*/ true, }; + ggml_context * ctx = ggml_init(params); if (!ctx) { WHISPER_LOG_ERROR("%s: failed to init LSTM state ggml context\n", __func__); + whisper_vad_free_state(state); return nullptr; } @@ -4700,6 +4713,13 @@ struct whisper_vad_state * whisper_vad_init_state(whisper_vad_context * vctx) { state->c_state = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, lstm_hidden_size); ggml_set_name(state->c_state, "c_state"); + state->buffer = ggml_backend_alloc_ctx_tensors(ctx, state->backends[0]); + if (!state->buffer) { + WHISPER_LOG_ERROR("%s: failed to allocate memory for the VAD state\n", __func__); + whisper_vad_free_state(state); + return nullptr; + } + { bool ok = whisper_sched_graph_init(state->sched, state->backends, [&]() { @@ -5102,11 +5122,20 @@ struct whisper_vad_speech whisper_vad_detect_speech(struct whisper_vad_context * if (n_samples % vctx->n_window != 0) { n_chunks += 1; // Add one more chunk for remaining samples. } - auto & sched = vctx->state->sched.sched; - WHISPER_LOG_INFO("%s: detecting speech in %d samples\n", __func__, n_samples); WHISPER_LOG_INFO("%s: n_chunks: %d\n", __func__, n_chunks); + // Reset LSTM hidden/cell states + ggml_backend_buffer_clear(vctx->state->buffer, 0); + + // TODO: move to vad state and change to std::vector + float * probs = new float[n_chunks]; + WHISPER_LOG_INFO("%s: props size: %u\n", __func__, n_chunks); + + std::vector window(vctx->n_window, 0.0f); + + auto & sched = vctx->state->sched.sched; + ggml_cgraph * gf = whisper_vad_build_graph(*vctx); if (!ggml_backend_sched_alloc_graph(sched, gf)) { @@ -5116,19 +5145,13 @@ struct whisper_vad_speech whisper_vad_detect_speech(struct whisper_vad_context * struct ggml_tensor * frame = ggml_graph_get_tensor(gf, "frame"); struct ggml_tensor * prob = ggml_graph_get_tensor(gf, "prob"); - ggml_set_zero(prob); - // Reset LSTM hidden/cell states - ggml_set_zero(vctx->state->h_state); - ggml_set_zero(vctx->state->c_state); - - float * probs= new float[n_chunks]; - WHISPER_LOG_INFO("%s: props size: %u\n", __func__, n_chunks); - - std::vector window(vctx->n_window, 0.0f); + // we are going to reuse the graph multiple times for each chunk + // TODO: measure time and print timing information for this step for (int i = 0; i < n_chunks; i++) { int start_idx = i * vctx->n_window; int end_idx = std::min(start_idx + vctx->n_window, n_samples); + int chunk_len = end_idx - start_idx; if (chunk_len < vctx->n_window) { @@ -5146,14 +5169,14 @@ struct whisper_vad_speech whisper_vad_detect_speech(struct whisper_vad_context * } else { // Copy current frame samples to the window. int samples_to_copy = std::min(end_idx - start_idx, vctx->n_window); - std::copy(pcmf32 + start_idx, pcmf32 + start_idx + samples_to_copy, - window.begin()); + std::copy(pcmf32 + start_idx, pcmf32 + start_idx + samples_to_copy, window.begin()); } // Set the frame tensor data with the samples. ggml_backend_tensor_set(frame, window.data(), 0, ggml_nelements(frame) * sizeof(float)); - if (!ggml_graph_compute_helper(sched, gf, vctx->n_threads)) { + // do not reset the scheduler - we will reuse the graph in the next chunk + if (!ggml_graph_compute_helper(sched, gf, vctx->n_threads, false)) { WHISPER_LOG_ERROR("%s: failed to compute VAD graph\n", __func__); break; } @@ -5161,13 +5184,18 @@ struct whisper_vad_speech whisper_vad_detect_speech(struct whisper_vad_context * // Get the probability for this chunk. ggml_backend_tensor_get(prob, &probs[i], 0, sizeof(float)); + //WHISPER_LOG_DEBUG("chunk %d: p = %7.3f\n", i, probs[i]); } + + ggml_backend_sched_reset(sched); + WHISPER_LOG_INFO("%s: finished processing %d samples\n", __func__, n_samples); struct whisper_vad_speech speech = { /* n_probs = */ n_chunks, /* probs = */ probs, }; + return speech; } From eb2c83eead24ec1caac845f994eb2bbda904dc13 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Fri, 9 May 2025 09:33:49 +0200 Subject: [PATCH 22/49] vad : fix use_gpu assert in test-vad.cpp --- tests/test-vad.cpp | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/tests/test-vad.cpp b/tests/test-vad.cpp index 4cfd5fa038c..0061dea2b58 100644 --- a/tests/test-vad.cpp +++ b/tests/test-vad.cpp @@ -19,9 +19,7 @@ void assert_default_params(const struct whisper_vad_params & params) { void assert_default_context_params(const struct whisper_vad_context_params & params) { assert(params.n_threads == 4); - // TODO(danbev) Updated this check one CUDA GPU support is stable and the - // default changed to true. - assert(params.use_gpu == false); + assert(params.use_gpu == true); assert(params.gpu_device == 0); } From 47c8f02dbf2e2182b3f0cc4fcf6a4a10f52f3e94 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Fri, 9 May 2025 09:41:54 +0200 Subject: [PATCH 23/49] vad : remove unnecessary reserve [no ci] --- src/whisper.cpp | 1 - 1 file changed, 1 deletion(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index 7d5e2310830..dd9507fcb65 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -6756,7 +6756,6 @@ static bool whisper_vad( __func__, (float)filtered_n_samples / WHISPER_SAMPLE_RATE); try { - filtered_samples.reserve(total_samples_needed); filtered_samples.resize(total_samples_needed); } catch (const std::bad_alloc & /* e */) { WHISPER_LOG_ERROR("%s: failed to allocate memory for filtered samples\n", __func__); From 327cdaee7f38bd29d195ac9520be45a93e51ce8d Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Fri, 9 May 2025 10:13:03 +0200 Subject: [PATCH 24/49] vad : add probs to whisper_vad_state This commit adds a `probs` member to the `whisper_vad_state` struct, which is a vector of floats. A pointer to this data is returned in the `whisper_vad_speech` struct instead of copying the data to a new array, to the data will only be valid for as long as the whisper_vad_state object exists. I was concerned about the performance of copying the data, but I'm not sure if this is a good way to handle this and perhaps a copy would be better. --- src/whisper.cpp | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index dd9507fcb65..6047eef3701 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -4425,6 +4425,8 @@ struct whisper_vad_state { std::vector ctx_buf; whisper_sched sched; + + std::vector probs; }; struct whisper_vad_context { @@ -5128,8 +5130,7 @@ struct whisper_vad_speech whisper_vad_detect_speech(struct whisper_vad_context * // Reset LSTM hidden/cell states ggml_backend_buffer_clear(vctx->state->buffer, 0); - // TODO: move to vad state and change to std::vector - float * probs = new float[n_chunks]; + vctx->state->probs.resize(n_chunks); WHISPER_LOG_INFO("%s: props size: %u\n", __func__, n_chunks); std::vector window(vctx->n_window, 0.0f); @@ -5182,7 +5183,7 @@ struct whisper_vad_speech whisper_vad_detect_speech(struct whisper_vad_context * } // Get the probability for this chunk. - ggml_backend_tensor_get(prob, &probs[i], 0, sizeof(float)); + ggml_backend_tensor_get(prob, &vctx->state->probs[i], 0, sizeof(float)); //WHISPER_LOG_DEBUG("chunk %d: p = %7.3f\n", i, probs[i]); } @@ -5193,7 +5194,7 @@ struct whisper_vad_speech whisper_vad_detect_speech(struct whisper_vad_context * struct whisper_vad_speech speech = { /* n_probs = */ n_chunks, - /* probs = */ probs, + /* probs = */ vctx->state->probs.data(), }; return speech; @@ -5548,7 +5549,6 @@ void whisper_vad_free_params(whisper_vad_params * params) { } void whisper_vad_free_speech(whisper_vad_speech * speech) { - delete[] speech->probs; speech->probs = nullptr; speech->n_probs = 0; } From bf2b0df9a82747cb17b6e53185f3b689a693b767 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Fri, 9 May 2025 11:13:35 +0200 Subject: [PATCH 25/49] vad : add timing of vad processing [no ci] --- src/whisper.cpp | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index 6047eef3701..e14d06664df 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -4415,6 +4415,7 @@ struct whisper_vad_model { }; struct whisper_vad_state { + int64_t t_vad_us = 0; std::vector backends; struct ggml_tensor * h_state; @@ -5149,6 +5150,7 @@ struct whisper_vad_speech whisper_vad_detect_speech(struct whisper_vad_context * // we are going to reuse the graph multiple times for each chunk // TODO: measure time and print timing information for this step + const int64_t t_start_vad_us = ggml_time_us(); for (int i = 0; i < n_chunks; i++) { int start_idx = i * vctx->n_window; int end_idx = std::min(start_idx + vctx->n_window, n_samples); @@ -5187,11 +5189,11 @@ struct whisper_vad_speech whisper_vad_detect_speech(struct whisper_vad_context * //WHISPER_LOG_DEBUG("chunk %d: p = %7.3f\n", i, probs[i]); } + vctx->state->t_vad_us += ggml_time_us() - t_start_vad_us; + WHISPER_LOG_INFO("%s: vad time = %.2f ms processing %d samples\n", __func__, 1e-3f * vctx->state->t_vad_us, n_samples); ggml_backend_sched_reset(sched); - WHISPER_LOG_INFO("%s: finished processing %d samples\n", __func__, n_samples); - struct whisper_vad_speech speech = { /* n_probs = */ n_chunks, /* probs = */ vctx->state->probs.data(), From 243e0dbad60778df33732bcf9c2fd12aa0f7562a Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Sat, 10 May 2025 10:46:05 +0300 Subject: [PATCH 26/49] vad : force GPU off for now --- include/whisper.h | 2 +- src/whisper.cpp | 4 +++- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/include/whisper.h b/include/whisper.h index dce75e1b731..da5d2d64d5d 100644 --- a/include/whisper.h +++ b/include/whisper.h @@ -682,7 +682,7 @@ extern "C" { struct whisper_vad_context_params { int n_threads; // The number of threads to use for processing. bool use_gpu; - int gpu_device; // CUDA device + int gpu_device; // CUDA device }; WHISPER_API struct whisper_vad_context_params whisper_vad_default_context_params(void); diff --git a/src/whisper.cpp b/src/whisper.cpp index e14d06664df..c9d11e0336d 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -4681,7 +4681,9 @@ struct whisper_vad_state * whisper_vad_init_state(whisper_vad_context * vctx) { vctx->state = state; auto whisper_context_params = whisper_context_default_params(); - whisper_context_params.use_gpu = vctx->params.use_gpu; + // TODO: GPU VAD is forced disabled until the performance is improved + //whisper_context_params.use_gpu = vctx->params.use_gpu; + whisper_context_params.use_gpu = false; whisper_context_params.gpu_device = vctx->params.gpu_device; state->backends = whisper_backend_init(whisper_context_params); From 65c421de9fb10cccc3cdf6eb99d6a91ca0dfaa41 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Sat, 10 May 2025 10:46:19 +0300 Subject: [PATCH 27/49] vad : minor style and naming changes --- src/whisper.cpp | 50 ++++++++++++++++++++++++++----------------------- 1 file changed, 27 insertions(+), 23 deletions(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index c9d11e0336d..c9d2331a23f 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -5151,30 +5151,30 @@ struct whisper_vad_speech whisper_vad_detect_speech(struct whisper_vad_context * struct ggml_tensor * prob = ggml_graph_get_tensor(gf, "prob"); // we are going to reuse the graph multiple times for each chunk - // TODO: measure time and print timing information for this step const int64_t t_start_vad_us = ggml_time_us(); + for (int i = 0; i < n_chunks; i++) { - int start_idx = i * vctx->n_window; - int end_idx = std::min(start_idx + vctx->n_window, n_samples); + const int idx_start = i * vctx->n_window; + const int idx_end = std::min(idx_start + vctx->n_window, n_samples); - int chunk_len = end_idx - start_idx; + const int chunk_len = idx_end - idx_start; if (chunk_len < vctx->n_window) { WHISPER_LOG_INFO("%s: chunk_len: %d < n_window: %d\n", __func__, chunk_len, vctx->n_window); std::vector partial_chunk(vctx->n_window, 0.0f); - std::copy(pcmf32 + start_idx, pcmf32 + end_idx, partial_chunk.begin()); + std::copy(pcmf32 + idx_start, pcmf32 + idx_end, partial_chunk.begin()); // Copy the zero-padded chunk to the window. - int max_samples_to_copy = vctx->n_window; - int actual_samples_to_copy = std::min(max_samples_to_copy, (int)partial_chunk.size()); - std::copy(partial_chunk.begin(), partial_chunk.begin() + actual_samples_to_copy, window.begin()); - if (actual_samples_to_copy < max_samples_to_copy) { - std::fill(window.begin() + actual_samples_to_copy, window.end(), 0.0f); + const int samples_to_copy_max = vctx->n_window; + const int samples_to_copy_cur = std::min(samples_to_copy_max, (int)partial_chunk.size()); + std::copy(partial_chunk.begin(), partial_chunk.begin() + samples_to_copy_cur, window.begin()); + if (samples_to_copy_cur < samples_to_copy_max) { + std::fill(window.begin() + samples_to_copy_cur, window.end(), 0.0f); } } else { // Copy current frame samples to the window. - int samples_to_copy = std::min(end_idx - start_idx, vctx->n_window); - std::copy(pcmf32 + start_idx, pcmf32 + start_idx + samples_to_copy, window.begin()); + const int samples_to_copy = std::min(idx_end - idx_start, vctx->n_window); + std::copy(pcmf32 + idx_start, pcmf32 + idx_start + samples_to_copy, window.begin()); } // Set the frame tensor data with the samples. @@ -5191,6 +5191,7 @@ struct whisper_vad_speech whisper_vad_detect_speech(struct whisper_vad_context * //WHISPER_LOG_DEBUG("chunk %d: p = %7.3f\n", i, probs[i]); } + vctx->state->t_vad_us += ggml_time_us() - t_start_vad_us; WHISPER_LOG_INFO("%s: vad time = %.2f ms processing %d samples\n", __func__, 1e-3f * vctx->state->t_vad_us, n_samples); @@ -5204,7 +5205,6 @@ struct whisper_vad_speech whisper_vad_detect_speech(struct whisper_vad_context * return speech; } - struct whisper_vad_timestamps whisper_vad_timestamps_from_probs(whisper_vad_context * vctx, whisper_vad_params params, struct whisper_vad_speech * speech) { @@ -5243,7 +5243,7 @@ struct whisper_vad_timestamps whisper_vad_timestamps_from_probs(whisper_vad_cont // max_speech_samples is reached. The value 98 was taken from the original // silaro-vad python implementation: //https://github.com/snakers4/silero-vad/blob/0dd45f0bcd7271463c234f3bae5ad25181f9df8b/src/silero_vad/utils_vad.py#L291 - int min_silence_samples_at_max_speech = sample_rate * 98 / 1000; + int min_silence_samples_at_max_speech = sample_rate * 98 / 1000; // Calculate lower threshold for detecting end of speech segments. float neg_threshold = threshold - 0.15f; @@ -5475,24 +5475,28 @@ struct whisper_vad_timestamps whisper_vad_timestamps_from_probs(whisper_vad_cont if (silence_duration < 2 * speech_pad_samples) { // If segments are close, split the difference speeches[i].end += silence_duration / 2; - speeches[i+1].start = (speeches[i+1].start > silence_duration / 2) ? - (speeches[i+1].start - silence_duration / 2) : 0; + speeches[i+1].start = + (speeches[i+1].start > silence_duration / 2) ? + (speeches[i+1].start - silence_duration / 2) : 0; } else { // Otherwise, apply full padding to both - speeches[i].end = (speeches[i].end + speech_pad_samples < audio_length_samples) ? - (speeches[i].end + speech_pad_samples) : audio_length_samples; - speeches[i+1].start = (speeches[i+1].start > speech_pad_samples) ? - (speeches[i+1].start - speech_pad_samples) : 0; + speeches[i].end = + (speeches[i].end + speech_pad_samples < audio_length_samples) ? + (speeches[i].end + speech_pad_samples) : audio_length_samples; + speeches[i+1].start = + (speeches[i+1].start > speech_pad_samples) ? + (speeches[i+1].start - speech_pad_samples) : 0; } } else { // Apply padding to the end of the last segment - speeches[i].end = (speeches[i].end + speech_pad_samples < audio_length_samples) ? - (speeches[i].end + speech_pad_samples) : audio_length_samples; + speeches[i].end = + (speeches[i].end + speech_pad_samples < audio_length_samples) ? + (speeches[i].end + speech_pad_samples) : audio_length_samples; } // Convert from samples to seconds and copy to final segments segments[i].start = (float)speeches[i].start / sample_rate; - segments[i].end = (float)speeches[i].end / sample_rate; + segments[i].end = (float)speeches[i].end / sample_rate; WHISPER_LOG_INFO("%s: VAD segment %d: start = %.2f, end = %.2f (duration: %.2f)\n", __func__, i, segments[i].start, segments[i].end, segments[i].end - segments[i].start); From cae38fda87288a25e392bd1c904373c0f91e53b5 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Sat, 10 May 2025 10:52:16 +0300 Subject: [PATCH 28/49] vad : minor style --- src/whisper.cpp | 33 ++++++++++++++++++--------------- 1 file changed, 18 insertions(+), 15 deletions(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index c9d2331a23f..06473c4e1ec 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -5120,9 +5120,10 @@ struct whisper_vad_context * whisper_vad_init_with_params_no_state(struct whispe return vctx; } -struct whisper_vad_speech whisper_vad_detect_speech(struct whisper_vad_context * vctx, - const float * pcmf32, - int n_samples) { +struct whisper_vad_speech whisper_vad_detect_speech( + struct whisper_vad_context * vctx, + const float * pcmf32, + int n_samples) { int n_chunks = n_samples / vctx->n_window; if (n_samples % vctx->n_window != 0) { n_chunks += 1; // Add one more chunk for remaining samples. @@ -6711,15 +6712,16 @@ static void whisper_sequence_score( } static bool whisper_vad( - struct whisper_context * ctx, - struct whisper_state * state, - struct whisper_full_params params, - const float * samples, - int n_samples, - std::vector & filtered_samples, - int & filtered_n_samples) { + struct whisper_context * ctx, + struct whisper_state * state, + struct whisper_full_params params, + const float * samples, + int n_samples, + std::vector & filtered_samples, + int & filtered_n_samples) { WHISPER_LOG_INFO("%s: VAD is enabled, processing speach segments only\n", __func__); filtered_n_samples = 0; + struct whisper_vad_context_params vad_ctx_params = whisper_vad_default_context_params(); struct whisper_vad_context * vctx = whisper_vad_init_from_file_with_params(params.vad_model_path, vad_ctx_params); if (vctx == nullptr) { @@ -6727,7 +6729,7 @@ static bool whisper_vad( return false; } - struct whisper_vad_params vad_params = whisper_vad_params_from(params); + struct whisper_vad_params vad_params = whisper_vad_params_from(params); struct whisper_vad_timestamps timestamps = whisper_vad_detect_speech_timestamps(vctx, vad_params, samples, n_samples); if (timestamps.n_segments > 0) { @@ -6775,7 +6777,7 @@ static bool whisper_vad( int offset = 0; for (int i = 0; i < timestamps.n_segments; i++) { int segment_start_samples = timestamps.segments[i].start * WHISPER_SAMPLE_RATE; - int segment_end_samples = timestamps.segments[i].end * WHISPER_SAMPLE_RATE; + int segment_end_samples = timestamps.segments[i].end * WHISPER_SAMPLE_RATE; if (i < timestamps.n_segments - 1) { segment_end_samples += overlap_samples; @@ -6789,11 +6791,10 @@ static bool whisper_vad( whisper_state::vad_segment_info segment; segment.orig_start = timestamps.segments[i].start; - segment.orig_end = timestamps.segments[i].end; + segment.orig_end = timestamps.segments[i].end; segment.vad_start = offset / (float)WHISPER_SAMPLE_RATE; - segment.vad_end = (offset + segment_length) / (float)WHISPER_SAMPLE_RATE; - + segment.vad_end = (offset + segment_length) / (float)WHISPER_SAMPLE_RATE; WHISPER_LOG_INFO("%s: vad_segment_info: orig_start: %.2f, orig_end: %.2f, vad_start: %.2f, vad_end: %.2f\n", __func__, segment.orig_start, segment.orig_end, segment.vad_start, segment.vad_end); @@ -6811,10 +6812,12 @@ static bool whisper_vad( } } } + filtered_n_samples = offset; WHISPER_LOG_INFO("%s: Reduced audio from %d to %d samples (%.1f%% reduction)\n", __func__, n_samples, filtered_n_samples, 100.0f * (1.0f - (float)filtered_n_samples / n_samples)); } + return true; } From cd953ebf4386e8dfe91f38b369ebe83fedf0da11 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Sat, 10 May 2025 11:04:06 +0300 Subject: [PATCH 29/49] vad : remove obsolete whisper_vad_free_speech --- include/whisper.h | 28 ++++++++++++++++++---------- src/whisper.cpp | 12 ++++-------- tests/test-vad.cpp | 1 - 3 files changed, 22 insertions(+), 19 deletions(-) diff --git a/include/whisper.h b/include/whisper.h index da5d2d64d5d..cf1761c53cf 100644 --- a/include/whisper.h +++ b/include/whisper.h @@ -586,6 +586,7 @@ extern "C" { // NOTE: this function allocates memory, and it is the responsibility of the caller to free the pointer - see whisper_free_context_params & whisper_free_params() WHISPER_API struct whisper_context_params * whisper_context_default_params_by_ref(void); WHISPER_API struct whisper_context_params whisper_context_default_params (void); + WHISPER_API struct whisper_full_params * whisper_full_default_params_by_ref(enum whisper_sampling_strategy strategy); WHISPER_API struct whisper_full_params whisper_full_default_params (enum whisper_sampling_strategy strategy); @@ -663,7 +664,10 @@ extern "C" { WHISPER_API float whisper_full_get_token_p (struct whisper_context * ctx, int i_segment, int i_token); WHISPER_API float whisper_full_get_token_p_from_state(struct whisper_state * state, int i_segment, int i_token); + // // Voice Activity Detection (VAD) + // + struct whisper_vad_context; struct whisper_vad_state; @@ -676,27 +680,30 @@ extern "C" { int window_size_samples; // Number of audio samples in each probability window. float samples_overlap; // Overlap in seconds when copying audio samples from speech segment. }; - WHISPER_API struct whisper_vad_params whisper_vad_default_params(void); - WHISPER_API struct whisper_vad_params whisper_vad_params_from(struct whisper_full_params wparams); + + WHISPER_API struct whisper_vad_params whisper_vad_default_params(void); + WHISPER_API struct whisper_vad_params whisper_vad_params_from(struct whisper_full_params wparams); struct whisper_vad_context_params { int n_threads; // The number of threads to use for processing. bool use_gpu; int gpu_device; // CUDA device }; + WHISPER_API struct whisper_vad_context_params whisper_vad_default_context_params(void); WHISPER_API struct whisper_vad_state * whisper_vad_init_state(struct whisper_vad_context * ctx); WHISPER_API struct whisper_vad_context * whisper_vad_init_from_file_with_params( - const char * path_model, - const struct whisper_vad_context_params params); + const char * path_model, + const struct whisper_vad_context_params params); WHISPER_API struct whisper_vad_context * whisper_vad_init_from_file_with_params_no_state( - const char * path_model, - const struct whisper_vad_context_params params); + const char * path_model, + const struct whisper_vad_context_params params); - WHISPER_API struct whisper_vad_context * whisper_vad_init_with_params_no_state(struct whisper_model_loader * loader, + WHISPER_API struct whisper_vad_context * whisper_vad_init_with_params_no_state( + struct whisper_model_loader * loader, struct whisper_vad_context_params params); struct whisper_vad_speech { @@ -706,7 +713,8 @@ extern "C" { WHISPER_API struct whisper_vad_speech whisper_vad_detect_speech( struct whisper_vad_context * vctx, - const float * samples, int n_samples); + const float * samples, + int n_samples); struct whisper_vad_segment { float start; // Start time in seconds @@ -721,7 +729,8 @@ extern "C" { WHISPER_API struct whisper_vad_timestamps whisper_vad_detect_speech_timestamps( struct whisper_vad_context * vctx, struct whisper_vad_params params, - const float * samples, int n_samples); + const float * samples, + int n_samples); WHISPER_API struct whisper_vad_timestamps whisper_vad_timestamps_from_probs( struct whisper_vad_context * vctx, @@ -731,7 +740,6 @@ extern "C" { WHISPER_API void whisper_vad_free (struct whisper_vad_context * ctx); WHISPER_API void whisper_vad_free_state (struct whisper_vad_state * state); WHISPER_API void whisper_vad_free_params (struct whisper_vad_params * params); - WHISPER_API void whisper_vad_free_speech (struct whisper_vad_speech * speech); WHISPER_API void whisper_vad_free_timestamps(struct whisper_vad_timestamps * timestamps); //////////////////////////////////////////////////////////////////////////// diff --git a/src/whisper.cpp b/src/whisper.cpp index 06473c4e1ec..8891aecdea7 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -5206,9 +5206,10 @@ struct whisper_vad_speech whisper_vad_detect_speech( return speech; } -struct whisper_vad_timestamps whisper_vad_timestamps_from_probs(whisper_vad_context * vctx, - whisper_vad_params params, - struct whisper_vad_speech * speech) { +struct whisper_vad_timestamps whisper_vad_timestamps_from_probs( + whisper_vad_context * vctx, + whisper_vad_params params, + whisper_vad_speech * speech) { GGML_UNUSED(vctx); WHISPER_LOG_INFO("%s: detecting speech timestamps using %d probabilities\n", __func__, speech->n_probs); int n_probs = speech->n_probs; @@ -5557,11 +5558,6 @@ void whisper_vad_free_params(whisper_vad_params * params) { } } -void whisper_vad_free_speech(whisper_vad_speech * speech) { - speech->probs = nullptr; - speech->n_probs = 0; -} - void whisper_vad_free_timestamps(whisper_vad_timestamps * timestamps) { delete timestamps->segments; timestamps->segments = nullptr; diff --git a/tests/test-vad.cpp b/tests/test-vad.cpp index 0061dea2b58..f90f686b685 100644 --- a/tests/test-vad.cpp +++ b/tests/test-vad.cpp @@ -80,7 +80,6 @@ int main() { // Test speech timestamps (uses speech probabilities from above) struct whisper_vad_timestamps timestamps = test_detect_timestamps(vctx, params, &speech); - whisper_vad_free_speech(&speech); whisper_vad_free_timestamps(×tamps); whisper_vad_free(vctx); From f42e6e47cdeea88aeafb1cf8f472e055d6dc334a Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Sat, 10 May 2025 11:14:38 +0300 Subject: [PATCH 30/49] vad : refactor whiser_vad_params API --- examples/cli/cli.cpp | 21 ++++++++++----------- include/whisper.h | 33 ++++++++++++++------------------- src/whisper.cpp | 38 +++++++------------------------------- tests/test-vad-full.cpp | 17 +++++++++-------- tests/test-vad.cpp | 2 +- 5 files changed, 41 insertions(+), 70 deletions(-) diff --git a/examples/cli/cli.cpp b/examples/cli/cli.cpp index 27ce67898cb..a26f8865bc9 100644 --- a/examples/cli/cli.cpp +++ b/examples/cli/cli.cpp @@ -1166,19 +1166,18 @@ int main(int argc, char ** argv) { wparams.suppress_nst = params.suppress_nst; - wparams.vad = params.vad; - wparams.vad_model_path = params.vad_model.c_str(); - wparams.vad_threshold = params.vad_threshold; - wparams.vad_min_speech_duration_ms = params.vad_min_speech_duration_ms; - wparams.vad_min_silence_duration_ms = params.vad_min_silence_duration_ms; - wparams.vad_max_speech_duration_s = params.vad_max_speech_duration_s; - wparams.vad_speech_pad_ms = params.vad_speech_pad_ms; - wparams.vad_window_size_samples = params.vad_window_size_samples; - wparams.vad_samples_overlap = params.vad_samples_overlap; - - whisper_print_user_data user_data = { ¶ms, &pcmf32s, 0 }; + wparams.vad = params.vad; + wparams.vad_model_path = params.vad_model.c_str(); + wparams.vad_params.threshold = params.vad_threshold; + wparams.vad_params.min_speech_duration_ms = params.vad_min_speech_duration_ms; + wparams.vad_params.min_silence_duration_ms = params.vad_min_silence_duration_ms; + wparams.vad_params.max_speech_duration_s = params.vad_max_speech_duration_s; + wparams.vad_params.speech_pad_ms = params.vad_speech_pad_ms; + wparams.vad_params.window_size_samples = params.vad_window_size_samples; + wparams.vad_params.samples_overlap = params.vad_samples_overlap; + whisper_print_user_data user_data = { ¶ms, &pcmf32s, 0 }; const auto & grammar_parsed = params.grammar_parsed; auto grammar_rules = grammar_parsed.c_rules(); diff --git a/include/whisper.h b/include/whisper.h index cf1761c53cf..536cf1e222d 100644 --- a/include/whisper.h +++ b/include/whisper.h @@ -189,6 +189,16 @@ extern "C" { uint32_t value; // Unicode code point or rule ID } whisper_grammar_element; + typedef struct whisper_vad_params { + float threshold; // Probability threshold to consider as speech. + int min_speech_duration_ms; // Min duration for a valid speech segment. + int min_silence_duration_ms; // Min silence duration to consider speech as ended. + float max_speech_duration_s; // Max duration of a speech segment before forcing a new segment. + int speech_pad_ms; // Padding added before and after speech segments. + int window_size_samples; // Number of audio samples in each probability window. + float samples_overlap; // Overlap in seconds when copying audio samples from speech segment. + } whisper_vad_params; + // Various functions for loading a ggml whisper model. // Allocate (almost) all memory needed for the model. // Return NULL on failure @@ -574,13 +584,8 @@ extern "C" { // Voice Activity Detection (VAD) params bool vad; // Enable VAD const char * vad_model_path; // Path to VAD model - float vad_threshold; // Probability threshold to consider as speech. - int vad_min_speech_duration_ms; // Min duration for a valid speech segment. - int vad_min_silence_duration_ms; // Min silence duration to consider speech as ended. - float vad_max_speech_duration_s; // Max duration of a speech segment before forcing a break. - int vad_speech_pad_ms; // Padding added before and after speech segments. - int vad_window_size_samples; // Number of audio samples in each probability window. - float vad_samples_overlap; // Overlap in seconds when copying audio samples from speech segment. + + whisper_vad_params vad_params; }; // NOTE: this function allocates memory, and it is the responsibility of the caller to free the pointer - see whisper_free_context_params & whisper_free_params() @@ -671,18 +676,7 @@ extern "C" { struct whisper_vad_context; struct whisper_vad_state; - struct whisper_vad_params { - float threshold; // Probability threshold to consider as speech. - int min_speech_duration_ms; // Min duration for a valid speech segment. - int min_silence_duration_ms; // Min silence duration to consider speech as ended. - float max_speech_duration_s; // Max duration of a speech segment before forcing a new segment. - int speech_pad_ms; // Padding added before and after speech segments. - int window_size_samples; // Number of audio samples in each probability window. - float samples_overlap; // Overlap in seconds when copying audio samples from speech segment. - }; - WHISPER_API struct whisper_vad_params whisper_vad_default_params(void); - WHISPER_API struct whisper_vad_params whisper_vad_params_from(struct whisper_full_params wparams); struct whisper_vad_context_params { int n_threads; // The number of threads to use for processing. @@ -706,6 +700,7 @@ extern "C" { struct whisper_model_loader * loader, struct whisper_vad_context_params params); + // TODO: rename to whisper_vad_probs struct whisper_vad_speech { int n_probs; float * probs; @@ -726,6 +721,7 @@ extern "C" { struct whisper_vad_segment * segments; }; + // TODO: rename to whisper_vad_timestamps_from_samples WHISPER_API struct whisper_vad_timestamps whisper_vad_detect_speech_timestamps( struct whisper_vad_context * vctx, struct whisper_vad_params params, @@ -739,7 +735,6 @@ extern "C" { WHISPER_API void whisper_vad_free (struct whisper_vad_context * ctx); WHISPER_API void whisper_vad_free_state (struct whisper_vad_state * state); - WHISPER_API void whisper_vad_free_params (struct whisper_vad_params * params); WHISPER_API void whisper_vad_free_timestamps(struct whisper_vad_timestamps * timestamps); //////////////////////////////////////////////////////////////////////////// diff --git a/src/whisper.cpp b/src/whisper.cpp index 8891aecdea7..440f9e6defb 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -4449,7 +4449,7 @@ struct whisper_vad_context { struct whisper_vad_context_params whisper_vad_default_context_params(void) { whisper_vad_context_params result = { /*.n_thread = */ 4, - /*.use_gpu = */ true, + /*.use_gpu = */ false, /*.gpu_device = */ 0, }; return result; @@ -4468,19 +4468,6 @@ struct whisper_vad_params whisper_vad_default_params(void) { return result; } -struct whisper_vad_params whisper_vad_params_from(struct whisper_full_params wparams) { - whisper_vad_params result = { - /* threshold = */ wparams.vad_threshold, - /* min_speech_duration_ms = */ wparams.vad_min_speech_duration_ms, - /* min_silence_duration_ms = */ wparams.vad_min_silence_duration_ms, - /* max_speech_duration_s = */ wparams.vad_max_speech_duration_s, - /* speech_pad_ms = */ wparams.vad_speech_pad_ms, - /* window_size_samples = */ wparams.vad_window_size_samples, - /* samples_overlap = */ wparams.vad_samples_overlap, - }; - return result; -} - static bool weight_buft_supported(const whisper_vad_hparams & hparams, ggml_tensor * w, ggml_op op, ggml_backend_buffer_type_t buft, ggml_backend_dev_t dev) { bool op_supported = true; @@ -5552,12 +5539,6 @@ void whisper_vad_free_state(whisper_vad_state * state) { } } -void whisper_vad_free_params(whisper_vad_params * params) { - if (params) { - delete params; - } -} - void whisper_vad_free_timestamps(whisper_vad_timestamps * timestamps) { delete timestamps->segments; timestamps->segments = nullptr; @@ -6001,7 +5982,6 @@ struct whisper_full_params * whisper_full_default_params_by_ref(enum whisper_sam } struct whisper_full_params whisper_full_default_params(enum whisper_sampling_strategy strategy) { - auto vparams = whisper_vad_default_params(); struct whisper_full_params result = { /*.strategy =*/ strategy, @@ -6084,13 +6064,8 @@ struct whisper_full_params whisper_full_default_params(enum whisper_sampling_str /*.vad =*/ false, /*.vad_model_path =*/ nullptr, - /* vad_threshold =*/ vparams.threshold, - /* vad_min_speech_duration_ms =*/ vparams.min_speech_duration_ms, - /* vad_min_silence_duration_ms =*/ vparams.min_silence_duration_ms, - /* vad_max_speech_duration_s =*/ vparams.max_speech_duration_s, - /* vad_speech_pad_ms =*/ vparams.speech_pad_ms, - /* vad_window_size_samples =*/ vparams.window_size_samples, - /* vad_samples_overlap =*/ vparams.samples_overlap, + + /* vad_params =*/ whisper_vad_default_params(), }; switch (strategy) { @@ -6725,8 +6700,9 @@ static bool whisper_vad( return false; } - struct whisper_vad_params vad_params = whisper_vad_params_from(params); - struct whisper_vad_timestamps timestamps = whisper_vad_detect_speech_timestamps(vctx, vad_params, samples, n_samples); + const whisper_vad_params & vad_params = params.vad_params; + + whisper_vad_timestamps timestamps = whisper_vad_detect_speech_timestamps(vctx, vad_params, samples, n_samples); if (timestamps.n_segments > 0) { state->has_vad_segments = true; @@ -6734,7 +6710,7 @@ static bool whisper_vad( ctx->state->vad_segments.reserve(timestamps.n_segments); WHISPER_LOG_INFO("%s: detected %d speech segments\n", __func__, timestamps.n_segments); - float overlap_seconds = params.vad_samples_overlap; + float overlap_seconds = vad_params.samples_overlap; int overlap_samples = overlap_seconds * WHISPER_SAMPLE_RATE; for (int i = 0; i < timestamps.n_segments; i++) { diff --git a/tests/test-vad-full.cpp b/tests/test-vad-full.cpp index 3aed0784553..d01d387e827 100644 --- a/tests/test-vad-full.cpp +++ b/tests/test-vad-full.cpp @@ -28,14 +28,15 @@ int main() { cparams); struct whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_BEAM_SEARCH); - wparams.vad = true; - wparams.vad_model_path = vad_model_path.c_str(); - wparams.vad_threshold = 0.5f; - wparams.vad_min_speech_duration_ms = 250; - wparams.vad_min_silence_duration_ms = 100; - wparams.vad_max_speech_duration_s = FLT_MAX; - wparams.vad_speech_pad_ms = 30; - wparams.vad_window_size_samples = 512; + wparams.vad = true; + wparams.vad_model_path = vad_model_path.c_str(); + + wparams.vad_params.threshold = 0.5f; + wparams.vad_params.min_speech_duration_ms = 250; + wparams.vad_params.min_silence_duration_ms = 100; + wparams.vad_params.max_speech_duration_s = FLT_MAX; + wparams.vad_params.speech_pad_ms = 30; + wparams.vad_params.window_size_samples = 512; assert(whisper_full_parallel(wctx, wparams, pcmf32.data(), pcmf32.size(), 1) == 0); diff --git a/tests/test-vad.cpp b/tests/test-vad.cpp index f90f686b685..776841ecd5b 100644 --- a/tests/test-vad.cpp +++ b/tests/test-vad.cpp @@ -19,7 +19,7 @@ void assert_default_params(const struct whisper_vad_params & params) { void assert_default_context_params(const struct whisper_vad_context_params & params) { assert(params.n_threads == 4); - assert(params.use_gpu == true); + assert(params.use_gpu == false); assert(params.gpu_device == 0); } From 4ff858bae78ae5402ee6cd26c5392a5ffa22d3bd Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Sat, 10 May 2025 11:21:36 +0300 Subject: [PATCH 31/49] vad : simplify whisper_vad_timestamps_from_probs() --- include/whisper.h | 1 - src/whisper.cpp | 33 +++++++++++++++++---------------- tests/test-vad.cpp | 2 +- 3 files changed, 18 insertions(+), 18 deletions(-) diff --git a/include/whisper.h b/include/whisper.h index 536cf1e222d..fd0e68c8621 100644 --- a/include/whisper.h +++ b/include/whisper.h @@ -729,7 +729,6 @@ extern "C" { int n_samples); WHISPER_API struct whisper_vad_timestamps whisper_vad_timestamps_from_probs( - struct whisper_vad_context * vctx, struct whisper_vad_params params, struct whisper_vad_speech * probs); diff --git a/src/whisper.cpp b/src/whisper.cpp index 440f9e6defb..70c8be0e56e 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -5115,6 +5115,7 @@ struct whisper_vad_speech whisper_vad_detect_speech( if (n_samples % vctx->n_window != 0) { n_chunks += 1; // Add one more chunk for remaining samples. } + WHISPER_LOG_INFO("%s: detecting speech in %d samples\n", __func__, n_samples); WHISPER_LOG_INFO("%s: n_chunks: %d\n", __func__, n_chunks); @@ -5194,11 +5195,10 @@ struct whisper_vad_speech whisper_vad_detect_speech( } struct whisper_vad_timestamps whisper_vad_timestamps_from_probs( - whisper_vad_context * vctx, - whisper_vad_params params, - whisper_vad_speech * speech) { - GGML_UNUSED(vctx); + whisper_vad_params params, + whisper_vad_speech * speech) { WHISPER_LOG_INFO("%s: detecting speech timestamps using %d probabilities\n", __func__, speech->n_probs); + int n_probs = speech->n_probs; float * probs = speech->probs; float threshold = params.threshold; @@ -5258,13 +5258,13 @@ struct whisper_vad_timestamps whisper_vad_timestamps_from_probs( speeches[i].end = 0; } - bool is_speech_segment = false; - int speech_count = 0; - int temp_end = 0; - int prev_end = 0; - int next_start = 0; - int curr_speech_start = 0; - bool has_curr_speech = false; + bool is_speech_segment = false; + int speech_count = 0; + int temp_end = 0; + int prev_end = 0; + int next_start = 0; + int curr_speech_start = 0; + bool has_curr_speech = false; auto resize_speeches = [&]() -> bool { if (speech_count >= speech_capacity) { @@ -5502,13 +5502,14 @@ struct whisper_vad_timestamps whisper_vad_timestamps_from_probs( return timestamps; } -struct whisper_vad_timestamps whisper_vad_detect_speech_timestamps(whisper_vad_context * vctx, - whisper_vad_params params, - const float * pcmf32, - int n_samples) { +struct whisper_vad_timestamps whisper_vad_detect_speech_timestamps( + whisper_vad_context * vctx, + whisper_vad_params params, + const float * pcmf32, + int n_samples) { WHISPER_LOG_INFO("%s: detecting speech timestamps in %d samples\n", __func__, n_samples); auto probs = whisper_vad_detect_speech(vctx, pcmf32, n_samples); - return whisper_vad_timestamps_from_probs(vctx, params, &probs); + return whisper_vad_timestamps_from_probs(params, &probs); } void whisper_vad_free(whisper_vad_context * ctx) { diff --git a/tests/test-vad.cpp b/tests/test-vad.cpp index 776841ecd5b..9ffecdca24c 100644 --- a/tests/test-vad.cpp +++ b/tests/test-vad.cpp @@ -39,7 +39,7 @@ struct whisper_vad_timestamps test_detect_timestamps( struct whisper_vad_context * vctx, struct whisper_vad_params params, struct whisper_vad_speech * speech) { - struct whisper_vad_timestamps timestamps = whisper_vad_timestamps_from_probs(vctx, params, speech); + struct whisper_vad_timestamps timestamps = whisper_vad_timestamps_from_probs(params, speech); assert(timestamps.n_segments == 5); assert(timestamps.segments != nullptr); From 13a751774dd154d40fddc8c9e5e724f782b07461 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Sat, 10 May 2025 11:32:36 +0300 Subject: [PATCH 32/49] vad : refactor whisper_vad_timestamps_from_probs to use C++ --- include/whisper.h | 1 + src/whisper.cpp | 125 ++++++++++------------------------------------ 2 files changed, 26 insertions(+), 100 deletions(-) diff --git a/include/whisper.h b/include/whisper.h index fd0e68c8621..4a3dabce24e 100644 --- a/include/whisper.h +++ b/include/whisper.h @@ -716,6 +716,7 @@ extern "C" { float end; // End time in seconds }; + // TODO: rework into a oblique struct and access segments through API functions struct whisper_vad_timestamps { int n_segments; struct whisper_vad_segment * segments; diff --git a/src/whisper.cpp b/src/whisper.cpp index 70c8be0e56e..718d0c6427f 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -5240,53 +5240,21 @@ struct whisper_vad_timestamps whisper_vad_timestamps_from_probs( neg_threshold = 0.01f; } - typedef struct { + struct speech_segment_t { int start; int end; - } speech_segment_t; + }; - // Allocate initial memory for speech segments. - int speech_capacity = 16; - speech_segment_t * speeches = (speech_segment_t*)malloc(speech_capacity * sizeof(speech_segment_t)); - if (!speeches) { - WHISPER_LOG_ERROR("%s: failed to allocate memory for temporary segments\n", __func__); - return { 0, nullptr }; - } - // Initialize all segments - for (int i = 0; i < speech_capacity; i++) { - speeches[i].start = 0; - speeches[i].end = 0; - } + std::vector speeches; + speeches.reserve(256); bool is_speech_segment = false; - int speech_count = 0; int temp_end = 0; int prev_end = 0; int next_start = 0; int curr_speech_start = 0; bool has_curr_speech = false; - auto resize_speeches = [&]() -> bool { - if (speech_count >= speech_capacity) { - speech_capacity *= 2; - speech_segment_t* new_speeches = (speech_segment_t*)realloc(speeches, - speech_capacity * sizeof(speech_segment_t)); - if (!new_speeches) { - WHISPER_LOG_ERROR("%s: failed to reallocate memory for speech segments\n", __func__); - free(speeches); - return false; - } - speeches = new_speeches; - - // Initialize new memory - for (int j = speech_count; j < speech_capacity; j++) { - speeches[j].start = 0; - speeches[j].end = 0; - } - } - return true; - }; - for (int i = 0; i < n_probs; i++) { float curr_prob = probs[i]; int curr_sample = window_size_samples * i; @@ -5310,15 +5278,7 @@ struct whisper_vad_timestamps whisper_vad_timestamps_from_probs( // Handle maximum speech duration if (is_speech_segment && (curr_sample - curr_speech_start) > max_speech_samples) { if (prev_end) { - // Check if we need to increase capacity - if (!resize_speeches()) { - return { 0, nullptr }; - } - - // Add segment ending at previously detected silence - speeches[speech_count].start = curr_speech_start; - speeches[speech_count].end = prev_end; - speech_count++; + speeches.push_back({ curr_speech_start, prev_end }); has_curr_speech = true; if (next_start < prev_end) { // Previously reached silence and is still not speech @@ -5329,14 +5289,7 @@ struct whisper_vad_timestamps whisper_vad_timestamps_from_probs( } prev_end = next_start = temp_end = 0; } else { - // No silence detected, force end the segment - if (!resize_speeches()) { - return { 0, nullptr }; - } - - speeches[speech_count].start = curr_speech_start; - speeches[speech_count].end = curr_sample; - speech_count++; + speeches.push_back({ curr_speech_start, curr_sample }); prev_end = next_start = temp_end = 0; is_speech_segment = false; @@ -5362,14 +5315,7 @@ struct whisper_vad_timestamps whisper_vad_timestamps_from_probs( } else { // End the segment if it's long enough if ((temp_end - curr_speech_start) > min_speech_samples) { - // Check if we need to increase capacity - if (!resize_speeches()) { - return { 0, nullptr }; - } - - speeches[speech_count].start = curr_speech_start; - speeches[speech_count].end = temp_end; - speech_count++; + speeches.push_back({ curr_speech_start, temp_end }); } prev_end = next_start = temp_end = 0; @@ -5382,20 +5328,13 @@ struct whisper_vad_timestamps whisper_vad_timestamps_from_probs( // Handle the case if we're still in a speech segment at the end if (has_curr_speech && (audio_length_samples - curr_speech_start) > min_speech_samples) { - // Check if we need to increase capacity - if (!resize_speeches()) { - return { 0, nullptr }; - } - - speeches[speech_count].start = curr_speech_start; - speeches[speech_count].end = audio_length_samples; - speech_count++; + speeches.push_back({ curr_speech_start, audio_length_samples }); } // Merge adjacent segments with small gaps in between (post-processing) - if (speech_count > 1) { + if (speeches.size() > 1) { int merged_count = 0; - for (int i = 0; i < speech_count - 1; i++) { + for (int i = 0; i < (int) speeches.size() - 1; i++) { // Define maximum gap allowed for merging (e.g., 200ms converted to samples) int max_merge_gap_samples = sample_rate * 200 / 1000; @@ -5403,62 +5342,50 @@ struct whisper_vad_timestamps whisper_vad_timestamps_from_probs( if (speeches[i+1].start - speeches[i].end < max_merge_gap_samples) { // Merge by extending current segment to the end of next segment speeches[i].end = speeches[i+1].end; + speeches.erase(speeches.begin() + i + 1); - // Shift all subsequent segments back by one - for (int j = i+1; j < speech_count - 1; j++) { - speeches[j] = speeches[j+1]; - } - - // Reduce count and check this position again - speech_count--; i--; merged_count++; } } WHISPER_LOG_INFO("%s: Merged %d adjacent segments, now have %d segments\n", - __func__, merged_count, speech_count); + __func__, merged_count, (int) speeches.size()); } // Double-check for minimum speech duration - for (int i = 0; i < speech_count; i++) { + for (int i = 0; i < (int) speeches.size(); i++) { if (speeches[i].end - speeches[i].start < min_speech_samples) { WHISPER_LOG_INFO("%s: Removing segment %d (too short: %d samples)\n", __func__, i, speeches[i].end - speeches[i].start); - // Remove this segment by shifting all subsequent segments - for (int j = i; j < speech_count - 1; j++) { - speeches[j] = speeches[j+1]; - } - - // Reduce count and recheck current position - speech_count--; + speeches.erase(speeches.begin() + i); i--; } } - WHISPER_LOG_INFO("%s: Final speech segments after filtering: %d\n", __func__, speech_count); + WHISPER_LOG_INFO("%s: Final speech segments after filtering: %d\n", __func__, (int) speeches.size()); // Allocate final segments struct whisper_vad_segment * segments = NULL; - if (speech_count > 0) { - segments = (struct whisper_vad_segment*) malloc(speech_count * sizeof(struct whisper_vad_segment)); + if (speeches.size() > 0) { + segments = (struct whisper_vad_segment *) malloc(speeches.size() * sizeof(struct whisper_vad_segment)); if (!segments) { WHISPER_LOG_ERROR("%s: failed to allocate memory for final segments\n", __func__); - free(speeches); return { 0, nullptr }; } } // Apply padding to segments and copy to final segments - for (int i = 0; i < speech_count; i++) { + for (int i = 0; i < (int) speeches.size(); i++) { // Apply padding to the start of the first segment if (i == 0) { - speeches[i].start = (speeches[i].start > speech_pad_samples) ? - (speeches[i].start - speech_pad_samples) : 0; + speeches[i].start = + (speeches[i].start > speech_pad_samples) ? + (speeches[i].start - speech_pad_samples) : 0; } // Handle spacing between segments - if (i < speech_count - 1) { + if (i < (int) speeches.size() - 1) { int silence_duration = speeches[i+1].start - speeches[i].end; if (silence_duration < 2 * speech_pad_samples) { @@ -5491,11 +5418,8 @@ struct whisper_vad_timestamps whisper_vad_timestamps_from_probs( __func__, i, segments[i].start, segments[i].end, segments[i].end - segments[i].start); } - // Free temporary segments - free(speeches); - struct whisper_vad_timestamps timestamps = { - /* n_segments = */ speech_count, + /* n_segments = */ (int) speeches.size(), /* segments = */ segments, }; @@ -5541,7 +5465,8 @@ void whisper_vad_free_state(whisper_vad_state * state) { } void whisper_vad_free_timestamps(whisper_vad_timestamps * timestamps) { - delete timestamps->segments; + free(timestamps->segments); + timestamps->segments = nullptr; timestamps->n_segments = 0; } From 3bcc44c268f1a161cc85839307a0a519dbc64eb3 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Sat, 10 May 2025 11:40:19 +0200 Subject: [PATCH 33/49] vad : make whisper_vad_timestamps oblique in API --- include/whisper.h | 24 +++++++-------- src/whisper.cpp | 76 ++++++++++++++++++++++++++++------------------ tests/test-vad.cpp | 18 +++++------ 3 files changed, 68 insertions(+), 50 deletions(-) diff --git a/include/whisper.h b/include/whisper.h index 4a3dabce24e..27ce7a62cca 100644 --- a/include/whisper.h +++ b/include/whisper.h @@ -716,26 +716,26 @@ extern "C" { float end; // End time in seconds }; - // TODO: rework into a oblique struct and access segments through API functions - struct whisper_vad_timestamps { - int n_segments; - struct whisper_vad_segment * segments; - }; + struct whisper_vad_timestamps; + + WHISPER_API struct whisper_vad_timestamps * whisper_vad_timestamps_from_probs( + struct whisper_vad_params params, + struct whisper_vad_speech * probs); - // TODO: rename to whisper_vad_timestamps_from_samples - WHISPER_API struct whisper_vad_timestamps whisper_vad_detect_speech_timestamps( + WHISPER_API struct whisper_vad_timestamps * whisper_vad_timestamps_from_samples( struct whisper_vad_context * vctx, struct whisper_vad_params params, const float * samples, int n_samples); - WHISPER_API struct whisper_vad_timestamps whisper_vad_timestamps_from_probs( - struct whisper_vad_params params, - struct whisper_vad_speech * probs); + WHISPER_API int whisper_vad_timestamps_n_segments(struct whisper_vad_timestamps * timestamps); + + WHISPER_API float whisper_vad_timestamps_get_segment_t0(struct whisper_vad_timestamps * timestamps, int i_segment); + WHISPER_API float whisper_vad_timestamps_get_segment_t1(struct whisper_vad_timestamps * timestamps, int i_segment); - WHISPER_API void whisper_vad_free (struct whisper_vad_context * ctx); - WHISPER_API void whisper_vad_free_state (struct whisper_vad_state * state); WHISPER_API void whisper_vad_free_timestamps(struct whisper_vad_timestamps * timestamps); + WHISPER_API void whisper_vad_free_state (struct whisper_vad_state * state); + WHISPER_API void whisper_vad_free (struct whisper_vad_context * ctx); //////////////////////////////////////////////////////////////////////////// diff --git a/src/whisper.cpp b/src/whisper.cpp index 718d0c6427f..3074974614f 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -4430,6 +4430,11 @@ struct whisper_vad_state { std::vector probs; }; +struct whisper_vad_timestamps { + int n_segments; + struct whisper_vad_segment * segments; +}; + struct whisper_vad_context { int64_t t_load_us = 0; int64_t t_start_us = 0; @@ -5194,7 +5199,19 @@ struct whisper_vad_speech whisper_vad_detect_speech( return speech; } -struct whisper_vad_timestamps whisper_vad_timestamps_from_probs( +int whisper_vad_timestamps_n_segments(struct whisper_vad_timestamps * timestamps) { + return timestamps->n_segments; +} + +float whisper_vad_timestamps_get_segment_t0(struct whisper_vad_timestamps * timestamps, int i_segment) { + return timestamps->segments[i_segment].start; +} + +float whisper_vad_timestamps_get_segment_t1(struct whisper_vad_timestamps * timestamps, int i_segment) { + return timestamps->segments[i_segment].end; +} + +struct whisper_vad_timestamps * whisper_vad_timestamps_from_probs( whisper_vad_params params, whisper_vad_speech * speech) { WHISPER_LOG_INFO("%s: detecting speech timestamps using %d probabilities\n", __func__, speech->n_probs); @@ -5371,7 +5388,7 @@ struct whisper_vad_timestamps whisper_vad_timestamps_from_probs( segments = (struct whisper_vad_segment *) malloc(speeches.size() * sizeof(struct whisper_vad_segment)); if (!segments) { WHISPER_LOG_ERROR("%s: failed to allocate memory for final segments\n", __func__); - return { 0, nullptr }; + return nullptr; } } @@ -5418,15 +5435,16 @@ struct whisper_vad_timestamps whisper_vad_timestamps_from_probs( __func__, i, segments[i].start, segments[i].end, segments[i].end - segments[i].start); } - struct whisper_vad_timestamps timestamps = { - /* n_segments = */ (int) speeches.size(), - /* segments = */ segments, - }; - + whisper_vad_timestamps * timestamps = (whisper_vad_timestamps *) malloc(sizeof(whisper_vad_timestamps)); + if (timestamps == NULL) { + return nullptr; + } + timestamps->n_segments = (int) speeches.size(); + timestamps->segments = segments; return timestamps; } -struct whisper_vad_timestamps whisper_vad_detect_speech_timestamps( +struct whisper_vad_timestamps * whisper_vad_timestamps_from_samples( whisper_vad_context * vctx, whisper_vad_params params, const float * pcmf32, @@ -6628,36 +6646,36 @@ static bool whisper_vad( const whisper_vad_params & vad_params = params.vad_params; - whisper_vad_timestamps timestamps = whisper_vad_detect_speech_timestamps(vctx, vad_params, samples, n_samples); + whisper_vad_timestamps * timestamps = whisper_vad_timestamps_from_samples(vctx, vad_params, samples, n_samples); - if (timestamps.n_segments > 0) { + if (timestamps->n_segments > 0) { state->has_vad_segments = true; ctx->state->vad_segments.clear(); - ctx->state->vad_segments.reserve(timestamps.n_segments); + ctx->state->vad_segments.reserve(timestamps->n_segments); - WHISPER_LOG_INFO("%s: detected %d speech segments\n", __func__, timestamps.n_segments); + WHISPER_LOG_INFO("%s: detected %d speech segments\n", __func__, timestamps->n_segments); float overlap_seconds = vad_params.samples_overlap; int overlap_samples = overlap_seconds * WHISPER_SAMPLE_RATE; - for (int i = 0; i < timestamps.n_segments; i++) { - int segment_start_samples = timestamps.segments[i].start * WHISPER_SAMPLE_RATE; - int segment_end_samples = timestamps.segments[i].end * WHISPER_SAMPLE_RATE; + for (int i = 0; i < timestamps->n_segments; i++) { + int segment_start_samples = timestamps->segments[i].start * WHISPER_SAMPLE_RATE; + int segment_end_samples = timestamps->segments[i].end * WHISPER_SAMPLE_RATE; - if (i < timestamps.n_segments - 1) { + if (i < timestamps->n_segments - 1) { segment_end_samples += overlap_samples; } segment_end_samples = std::min(segment_end_samples, n_samples - 1); filtered_n_samples += (segment_end_samples - segment_start_samples); WHISPER_LOG_INFO("%s: Including segment %d: %.2f - %.2f (duration: %.2f)\n", - __func__, i, timestamps.segments[i].start, - timestamps.segments[i].end + (i < timestamps.n_segments - 1 ? overlap_seconds : 0), - (timestamps.segments[i].end - timestamps.segments[i].start) + - (i < timestamps.n_segments - 1 ? overlap_seconds : 0)); + __func__, i, timestamps->segments[i].start, + timestamps->segments[i].end + (i < timestamps->n_segments - 1 ? overlap_seconds : 0), + (timestamps->segments[i].end - timestamps->segments[i].start) + + (i < timestamps->n_segments - 1 ? overlap_seconds : 0)); } int silence_samples = 0.1 * WHISPER_SAMPLE_RATE; - int total_silence_samples = (timestamps.n_segments > 1) ? (timestamps.n_segments - 1) * silence_samples : 0; + int total_silence_samples = (timestamps->n_segments > 1) ? (timestamps->n_segments - 1) * silence_samples : 0; int total_samples_needed = filtered_n_samples + total_silence_samples; WHISPER_LOG_INFO("%s: total duration of speech segments: %.2f seconds\n", @@ -6667,17 +6685,17 @@ static bool whisper_vad( filtered_samples.resize(total_samples_needed); } catch (const std::bad_alloc & /* e */) { WHISPER_LOG_ERROR("%s: failed to allocate memory for filtered samples\n", __func__); - whisper_vad_free_timestamps(×tamps); + whisper_vad_free_timestamps(timestamps); whisper_vad_free(vctx); return false; } int offset = 0; - for (int i = 0; i < timestamps.n_segments; i++) { - int segment_start_samples = timestamps.segments[i].start * WHISPER_SAMPLE_RATE; - int segment_end_samples = timestamps.segments[i].end * WHISPER_SAMPLE_RATE; + for (int i = 0; i < timestamps->n_segments; i++) { + int segment_start_samples = timestamps->segments[i].start * WHISPER_SAMPLE_RATE; + int segment_end_samples = timestamps->segments[i].end * WHISPER_SAMPLE_RATE; - if (i < timestamps.n_segments - 1) { + if (i < timestamps->n_segments - 1) { segment_end_samples += overlap_samples; } @@ -6688,8 +6706,8 @@ static bool whisper_vad( if (segment_length > 0) { whisper_state::vad_segment_info segment; - segment.orig_start = timestamps.segments[i].start; - segment.orig_end = timestamps.segments[i].end; + segment.orig_start = timestamps->segments[i].start; + segment.orig_end = timestamps->segments[i].end; segment.vad_start = offset / (float)WHISPER_SAMPLE_RATE; segment.vad_end = (offset + segment_length) / (float)WHISPER_SAMPLE_RATE; @@ -6703,7 +6721,7 @@ static bool whisper_vad( offset += segment_length; // Add silence after this segment (except after the last segment) - if (i < timestamps.n_segments - 1) { + if (i < timestamps->n_segments - 1) { // Fill with zeros (silence) memset(filtered_samples.data() + offset, 0, silence_samples * sizeof(float)); offset += silence_samples; diff --git a/tests/test-vad.cpp b/tests/test-vad.cpp index 9ffecdca24c..c002615800d 100644 --- a/tests/test-vad.cpp +++ b/tests/test-vad.cpp @@ -35,17 +35,17 @@ struct whisper_vad_speech test_detect_speech( return speech; } -struct whisper_vad_timestamps test_detect_timestamps( +struct whisper_vad_timestamps * test_detect_timestamps( struct whisper_vad_context * vctx, struct whisper_vad_params params, struct whisper_vad_speech * speech) { - struct whisper_vad_timestamps timestamps = whisper_vad_timestamps_from_probs(params, speech); - assert(timestamps.n_segments == 5); - assert(timestamps.segments != nullptr); + struct whisper_vad_timestamps * timestamps = whisper_vad_timestamps_from_probs(params, speech); + assert(whisper_vad_timestamps_n_segments(timestamps) == 5); - for (int i = 0; i < timestamps.n_segments; ++i) { - printf("VAD segment %d: start = %.2f, end = %.2f\n", - i, timestamps.segments[i].start, timestamps.segments[i].end); + for (int i = 0; i < whisper_vad_timestamps_n_segments(timestamps); ++i) { + printf("VAD segment %d: start = %.2f, end = %.2f\n", i, + whisper_vad_timestamps_get_segment_t0(timestamps, i), + whisper_vad_timestamps_get_segment_t1(timestamps, i)); } return timestamps; @@ -78,9 +78,9 @@ int main() { struct whisper_vad_speech speech = test_detect_speech(vctx, params, pcmf32.data(), pcmf32.size()); // Test speech timestamps (uses speech probabilities from above) - struct whisper_vad_timestamps timestamps = test_detect_timestamps(vctx, params, &speech); + struct whisper_vad_timestamps * timestamps = test_detect_timestamps(vctx, params, &speech); - whisper_vad_free_timestamps(×tamps); + whisper_vad_free_timestamps(timestamps); whisper_vad_free(vctx); return 0; From 5543c80c734288f3fc286f5675e38b3e426ae53b Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Sat, 10 May 2025 11:48:24 +0200 Subject: [PATCH 34/49] vad : rename whisper_vad_speech to whisper_vad_probs --- include/whisper.h | 7 +++---- src/whisper.cpp | 12 ++++++------ tests/test-vad.cpp | 18 +++++++++--------- 3 files changed, 18 insertions(+), 19 deletions(-) diff --git a/include/whisper.h b/include/whisper.h index 27ce7a62cca..268d5e1422a 100644 --- a/include/whisper.h +++ b/include/whisper.h @@ -700,13 +700,12 @@ extern "C" { struct whisper_model_loader * loader, struct whisper_vad_context_params params); - // TODO: rename to whisper_vad_probs - struct whisper_vad_speech { + struct whisper_vad_probs { int n_probs; float * probs; }; - WHISPER_API struct whisper_vad_speech whisper_vad_detect_speech( + WHISPER_API struct whisper_vad_probs whisper_vad_detect_speech( struct whisper_vad_context * vctx, const float * samples, int n_samples); @@ -720,7 +719,7 @@ extern "C" { WHISPER_API struct whisper_vad_timestamps * whisper_vad_timestamps_from_probs( struct whisper_vad_params params, - struct whisper_vad_speech * probs); + struct whisper_vad_probs * probs); WHISPER_API struct whisper_vad_timestamps * whisper_vad_timestamps_from_samples( struct whisper_vad_context * vctx, diff --git a/src/whisper.cpp b/src/whisper.cpp index 3074974614f..88c506f301a 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -5112,7 +5112,7 @@ struct whisper_vad_context * whisper_vad_init_with_params_no_state(struct whispe return vctx; } -struct whisper_vad_speech whisper_vad_detect_speech( +struct whisper_vad_probs whisper_vad_detect_speech( struct whisper_vad_context * vctx, const float * pcmf32, int n_samples) { @@ -5191,7 +5191,7 @@ struct whisper_vad_speech whisper_vad_detect_speech( ggml_backend_sched_reset(sched); - struct whisper_vad_speech speech = { + struct whisper_vad_probs speech = { /* n_probs = */ n_chunks, /* probs = */ vctx->state->probs.data(), }; @@ -5213,11 +5213,11 @@ float whisper_vad_timestamps_get_segment_t1(struct whisper_vad_timestamps * time struct whisper_vad_timestamps * whisper_vad_timestamps_from_probs( whisper_vad_params params, - whisper_vad_speech * speech) { - WHISPER_LOG_INFO("%s: detecting speech timestamps using %d probabilities\n", __func__, speech->n_probs); + whisper_vad_probs * vad_probs) { + WHISPER_LOG_INFO("%s: detecting speech timestamps using %d probabilities\n", __func__, vad_probs->n_probs); - int n_probs = speech->n_probs; - float * probs = speech->probs; + int n_probs = vad_probs->n_probs; + float * probs = vad_probs->probs; float threshold = params.threshold; int min_speech_duration_ms = params.min_speech_duration_ms; int min_silence_duration_ms = params.min_silence_duration_ms; diff --git a/tests/test-vad.cpp b/tests/test-vad.cpp index c002615800d..138a19c79f9 100644 --- a/tests/test-vad.cpp +++ b/tests/test-vad.cpp @@ -23,23 +23,23 @@ void assert_default_context_params(const struct whisper_vad_context_params & par assert(params.gpu_device == 0); } -struct whisper_vad_speech test_detect_speech( +struct whisper_vad_probs test_detect_speech( struct whisper_vad_context * vctx, struct whisper_vad_params params, const float * pcmf32, int n_samples) { - struct whisper_vad_speech speech = whisper_vad_detect_speech(vctx, pcmf32, n_samples); - assert(speech.n_probs == 344); - assert(speech.probs != nullptr); + struct whisper_vad_probs vad_probs = whisper_vad_detect_speech(vctx, pcmf32, n_samples); + assert(vad_probs.n_probs == 344); + assert(vad_probs.probs != nullptr); - return speech; + return vad_probs; } struct whisper_vad_timestamps * test_detect_timestamps( struct whisper_vad_context * vctx, struct whisper_vad_params params, - struct whisper_vad_speech * speech) { - struct whisper_vad_timestamps * timestamps = whisper_vad_timestamps_from_probs(params, speech); + struct whisper_vad_probs * probs) { + struct whisper_vad_timestamps * timestamps = whisper_vad_timestamps_from_probs(params, probs); assert(whisper_vad_timestamps_n_segments(timestamps) == 5); for (int i = 0; i < whisper_vad_timestamps_n_segments(timestamps); ++i) { @@ -75,10 +75,10 @@ int main() { assert_default_params(params); // Test speech probabilites - struct whisper_vad_speech speech = test_detect_speech(vctx, params, pcmf32.data(), pcmf32.size()); + struct whisper_vad_probs probs = test_detect_speech(vctx, params, pcmf32.data(), pcmf32.size()); // Test speech timestamps (uses speech probabilities from above) - struct whisper_vad_timestamps * timestamps = test_detect_timestamps(vctx, params, &speech); + struct whisper_vad_timestamps * timestamps = test_detect_timestamps(vctx, params, &probs); whisper_vad_free_timestamps(timestamps); whisper_vad_free(vctx); From 8b6f19cf6eb1fd2ecdc5727c00b958c3a002c7b8 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Sat, 10 May 2025 15:58:57 +0200 Subject: [PATCH 35/49] vad : move whisper_vad_segment to whisper.cpp --- include/whisper.h | 5 ----- src/whisper.cpp | 5 +++++ 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/include/whisper.h b/include/whisper.h index 268d5e1422a..600b8a07459 100644 --- a/include/whisper.h +++ b/include/whisper.h @@ -710,11 +710,6 @@ extern "C" { const float * samples, int n_samples); - struct whisper_vad_segment { - float start; // Start time in seconds - float end; // End time in seconds - }; - struct whisper_vad_timestamps; WHISPER_API struct whisper_vad_timestamps * whisper_vad_timestamps_from_probs( diff --git a/src/whisper.cpp b/src/whisper.cpp index 88c506f301a..7ed50ce816d 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -4430,6 +4430,11 @@ struct whisper_vad_state { std::vector probs; }; +struct whisper_vad_segment { + float start; // Start time in seconds + float end; // End time in seconds +}; + struct whisper_vad_timestamps { int n_segments; struct whisper_vad_segment * segments; From 7625ba162dc1a1889b8ccac2cd5f1829af1918a8 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Sat, 10 May 2025 16:10:38 +0200 Subject: [PATCH 36/49] vad : make segments vector a std::vector --- src/whisper.cpp | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index 7ed50ce816d..7739154ed7d 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -4437,7 +4437,7 @@ struct whisper_vad_segment { struct whisper_vad_timestamps { int n_segments; - struct whisper_vad_segment * segments; + std::vector segments; }; struct whisper_vad_context { @@ -5440,12 +5440,13 @@ struct whisper_vad_timestamps * whisper_vad_timestamps_from_probs( __func__, i, segments[i].start, segments[i].end, segments[i].end - segments[i].start); } - whisper_vad_timestamps * timestamps = (whisper_vad_timestamps *) malloc(sizeof(whisper_vad_timestamps)); + whisper_vad_timestamps * timestamps = new whisper_vad_timestamps; if (timestamps == NULL) { + WHISPER_LOG_ERROR("%s: failed to allocate memory for whisper_vad_timstamps\n", __func__); return nullptr; } timestamps->n_segments = (int) speeches.size(); - timestamps->segments = segments; + timestamps->segments.assign(segments, segments + timestamps->n_segments); return timestamps; } @@ -5488,10 +5489,9 @@ void whisper_vad_free_state(whisper_vad_state * state) { } void whisper_vad_free_timestamps(whisper_vad_timestamps * timestamps) { - free(timestamps->segments); - - timestamps->segments = nullptr; - timestamps->n_segments = 0; + if (timestamps) { + delete timestamps; + } } ////////////////////////////////// From b0b2f9b4f43df7354d01352e49c0b6aff007f9fc Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Sat, 10 May 2025 16:30:40 +0200 Subject: [PATCH 37/49] vad : use std::vector for segments in whisper_vad_timestamps_from_probs --- src/whisper.cpp | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index 7739154ed7d..bfb00638794 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -5388,10 +5388,11 @@ struct whisper_vad_timestamps * whisper_vad_timestamps_from_probs( WHISPER_LOG_INFO("%s: Final speech segments after filtering: %d\n", __func__, (int) speeches.size()); // Allocate final segments - struct whisper_vad_segment * segments = NULL; + std::vector segments; if (speeches.size() > 0) { - segments = (struct whisper_vad_segment *) malloc(speeches.size() * sizeof(struct whisper_vad_segment)); - if (!segments) { + try { + segments.resize(speeches.size()); + } catch (const std::bad_alloc &) { WHISPER_LOG_ERROR("%s: failed to allocate memory for final segments\n", __func__); return nullptr; } @@ -5446,7 +5447,7 @@ struct whisper_vad_timestamps * whisper_vad_timestamps_from_probs( return nullptr; } timestamps->n_segments = (int) speeches.size(); - timestamps->segments.assign(segments, segments + timestamps->n_segments); + timestamps->segments = std::move(segments); return timestamps; } From 20fe0b35f41455b50124cb934432426ed208ba7f Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Sat, 10 May 2025 16:35:15 +0200 Subject: [PATCH 38/49] vad : rename pcmf32 parameters to samples [no ci] --- src/whisper.cpp | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index bfb00638794..6a1d8e93606 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -5119,7 +5119,7 @@ struct whisper_vad_context * whisper_vad_init_with_params_no_state(struct whispe struct whisper_vad_probs whisper_vad_detect_speech( struct whisper_vad_context * vctx, - const float * pcmf32, + const float * samples, int n_samples) { int n_chunks = n_samples / vctx->n_window; if (n_samples % vctx->n_window != 0) { @@ -5161,7 +5161,7 @@ struct whisper_vad_probs whisper_vad_detect_speech( if (chunk_len < vctx->n_window) { WHISPER_LOG_INFO("%s: chunk_len: %d < n_window: %d\n", __func__, chunk_len, vctx->n_window); std::vector partial_chunk(vctx->n_window, 0.0f); - std::copy(pcmf32 + idx_start, pcmf32 + idx_end, partial_chunk.begin()); + std::copy(samples + idx_start, samples + idx_end, partial_chunk.begin()); // Copy the zero-padded chunk to the window. const int samples_to_copy_max = vctx->n_window; @@ -5173,7 +5173,7 @@ struct whisper_vad_probs whisper_vad_detect_speech( } else { // Copy current frame samples to the window. const int samples_to_copy = std::min(idx_end - idx_start, vctx->n_window); - std::copy(pcmf32 + idx_start, pcmf32 + idx_start + samples_to_copy, window.begin()); + std::copy(samples + idx_start, samples + idx_start + samples_to_copy, window.begin()); } // Set the frame tensor data with the samples. @@ -5454,10 +5454,10 @@ struct whisper_vad_timestamps * whisper_vad_timestamps_from_probs( struct whisper_vad_timestamps * whisper_vad_timestamps_from_samples( whisper_vad_context * vctx, whisper_vad_params params, - const float * pcmf32, + const float * samples, int n_samples) { WHISPER_LOG_INFO("%s: detecting speech timestamps in %d samples\n", __func__, n_samples); - auto probs = whisper_vad_detect_speech(vctx, pcmf32, n_samples); + auto probs = whisper_vad_detect_speech(vctx, samples, n_samples); return whisper_vad_timestamps_from_probs(params, &probs); } From f2123105d0316fb85442708b00a87f489230e070 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Sat, 10 May 2025 17:04:43 +0200 Subject: [PATCH 39/49] vad : remove n_segments from struct whisper_vad_timestamps --- src/whisper.cpp | 26 ++++++++++++-------------- 1 file changed, 12 insertions(+), 14 deletions(-) diff --git a/src/whisper.cpp b/src/whisper.cpp index 6a1d8e93606..7383f5f47ae 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -4436,7 +4436,6 @@ struct whisper_vad_segment { }; struct whisper_vad_timestamps { - int n_segments; std::vector segments; }; @@ -5205,7 +5204,7 @@ struct whisper_vad_probs whisper_vad_detect_speech( } int whisper_vad_timestamps_n_segments(struct whisper_vad_timestamps * timestamps) { - return timestamps->n_segments; + return timestamps->segments.size(); } float whisper_vad_timestamps_get_segment_t0(struct whisper_vad_timestamps * timestamps, int i_segment) { @@ -5446,7 +5445,6 @@ struct whisper_vad_timestamps * whisper_vad_timestamps_from_probs( WHISPER_LOG_ERROR("%s: failed to allocate memory for whisper_vad_timstamps\n", __func__); return nullptr; } - timestamps->n_segments = (int) speeches.size(); timestamps->segments = std::move(segments); return timestamps; } @@ -6654,20 +6652,20 @@ static bool whisper_vad( whisper_vad_timestamps * timestamps = whisper_vad_timestamps_from_samples(vctx, vad_params, samples, n_samples); - if (timestamps->n_segments > 0) { + if (timestamps->segments.size() > 0) { state->has_vad_segments = true; ctx->state->vad_segments.clear(); - ctx->state->vad_segments.reserve(timestamps->n_segments); + ctx->state->vad_segments.reserve(timestamps->segments.size()); - WHISPER_LOG_INFO("%s: detected %d speech segments\n", __func__, timestamps->n_segments); + WHISPER_LOG_INFO("%s: detected %d speech segments\n", __func__, (int)timestamps->segments.size()); float overlap_seconds = vad_params.samples_overlap; int overlap_samples = overlap_seconds * WHISPER_SAMPLE_RATE; - for (int i = 0; i < timestamps->n_segments; i++) { + for (int i = 0; i < (int)timestamps->segments.size(); i++) { int segment_start_samples = timestamps->segments[i].start * WHISPER_SAMPLE_RATE; int segment_end_samples = timestamps->segments[i].end * WHISPER_SAMPLE_RATE; - if (i < timestamps->n_segments - 1) { + if (i < (int)timestamps->segments.size() - 1) { segment_end_samples += overlap_samples; } segment_end_samples = std::min(segment_end_samples, n_samples - 1); @@ -6675,13 +6673,13 @@ static bool whisper_vad( WHISPER_LOG_INFO("%s: Including segment %d: %.2f - %.2f (duration: %.2f)\n", __func__, i, timestamps->segments[i].start, - timestamps->segments[i].end + (i < timestamps->n_segments - 1 ? overlap_seconds : 0), + timestamps->segments[i].end + (i < (int)timestamps->segments.size() - 1 ? overlap_seconds : 0), (timestamps->segments[i].end - timestamps->segments[i].start) + - (i < timestamps->n_segments - 1 ? overlap_seconds : 0)); + (i < (int)timestamps->segments.size() - 1 ? overlap_seconds : 0)); } int silence_samples = 0.1 * WHISPER_SAMPLE_RATE; - int total_silence_samples = (timestamps->n_segments > 1) ? (timestamps->n_segments - 1) * silence_samples : 0; + int total_silence_samples = (timestamps->segments.size() > 1) ? (timestamps->segments.size() - 1) * silence_samples : 0; int total_samples_needed = filtered_n_samples + total_silence_samples; WHISPER_LOG_INFO("%s: total duration of speech segments: %.2f seconds\n", @@ -6697,11 +6695,11 @@ static bool whisper_vad( } int offset = 0; - for (int i = 0; i < timestamps->n_segments; i++) { + for (int i = 0; i < (int)timestamps->segments.size(); i++) { int segment_start_samples = timestamps->segments[i].start * WHISPER_SAMPLE_RATE; int segment_end_samples = timestamps->segments[i].end * WHISPER_SAMPLE_RATE; - if (i < timestamps->n_segments - 1) { + if (i < (int)timestamps->segments.size() - 1) { segment_end_samples += overlap_samples; } @@ -6727,7 +6725,7 @@ static bool whisper_vad( offset += segment_length; // Add silence after this segment (except after the last segment) - if (i < timestamps->n_segments - 1) { + if (i < (int)timestamps->segments.size() - 1) { // Fill with zeros (silence) memset(filtered_samples.data() + offset, 0, silence_samples * sizeof(float)); offset += silence_samples; From 4c7fe00cb09200da911a0b33bf61c127447d80a3 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Sat, 10 May 2025 17:17:30 +0200 Subject: [PATCH 40/49] vad : rename whisper_vad_timestamps to whisper_vad_segments [no ci] --- include/whisper.h | 14 +++++----- src/whisper.cpp | 68 +++++++++++++++++++++++----------------------- tests/test-vad.cpp | 16 +++++------ 3 files changed, 49 insertions(+), 49 deletions(-) diff --git a/include/whisper.h b/include/whisper.h index 600b8a07459..3eaa3883f41 100644 --- a/include/whisper.h +++ b/include/whisper.h @@ -710,24 +710,24 @@ extern "C" { const float * samples, int n_samples); - struct whisper_vad_timestamps; + struct whisper_vad_segments; - WHISPER_API struct whisper_vad_timestamps * whisper_vad_timestamps_from_probs( + WHISPER_API struct whisper_vad_segments * whisper_vad_segments_from_probs( struct whisper_vad_params params, struct whisper_vad_probs * probs); - WHISPER_API struct whisper_vad_timestamps * whisper_vad_timestamps_from_samples( + WHISPER_API struct whisper_vad_segments * whisper_vad_segments_from_samples( struct whisper_vad_context * vctx, struct whisper_vad_params params, const float * samples, int n_samples); - WHISPER_API int whisper_vad_timestamps_n_segments(struct whisper_vad_timestamps * timestamps); + WHISPER_API int whisper_vad_segments_n_segments(struct whisper_vad_segments * segments); - WHISPER_API float whisper_vad_timestamps_get_segment_t0(struct whisper_vad_timestamps * timestamps, int i_segment); - WHISPER_API float whisper_vad_timestamps_get_segment_t1(struct whisper_vad_timestamps * timestamps, int i_segment); + WHISPER_API float whisper_vad_segments_get_segment_t0(struct whisper_vad_segments * segments, int i_segment); + WHISPER_API float whisper_vad_segments_get_segment_t1(struct whisper_vad_segments * segments, int i_segment); - WHISPER_API void whisper_vad_free_timestamps(struct whisper_vad_timestamps * timestamps); + WHISPER_API void whisper_vad_free_segments(struct whisper_vad_segments * segments); WHISPER_API void whisper_vad_free_state (struct whisper_vad_state * state); WHISPER_API void whisper_vad_free (struct whisper_vad_context * ctx); diff --git a/src/whisper.cpp b/src/whisper.cpp index 7383f5f47ae..4bb5d95bb74 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -4435,7 +4435,7 @@ struct whisper_vad_segment { float end; // End time in seconds }; -struct whisper_vad_timestamps { +struct whisper_vad_segments { std::vector segments; }; @@ -5203,19 +5203,19 @@ struct whisper_vad_probs whisper_vad_detect_speech( return speech; } -int whisper_vad_timestamps_n_segments(struct whisper_vad_timestamps * timestamps) { +int whisper_vad_segments_n_segments(struct whisper_vad_segments * timestamps) { return timestamps->segments.size(); } -float whisper_vad_timestamps_get_segment_t0(struct whisper_vad_timestamps * timestamps, int i_segment) { +float whisper_vad_segments_get_segment_t0(struct whisper_vad_segments * timestamps, int i_segment) { return timestamps->segments[i_segment].start; } -float whisper_vad_timestamps_get_segment_t1(struct whisper_vad_timestamps * timestamps, int i_segment) { +float whisper_vad_segments_get_segment_t1(struct whisper_vad_segments * timestamps, int i_segment) { return timestamps->segments[i_segment].end; } -struct whisper_vad_timestamps * whisper_vad_timestamps_from_probs( +struct whisper_vad_segments * whisper_vad_segments_from_probs( whisper_vad_params params, whisper_vad_probs * vad_probs) { WHISPER_LOG_INFO("%s: detecting speech timestamps using %d probabilities\n", __func__, vad_probs->n_probs); @@ -5440,23 +5440,23 @@ struct whisper_vad_timestamps * whisper_vad_timestamps_from_probs( __func__, i, segments[i].start, segments[i].end, segments[i].end - segments[i].start); } - whisper_vad_timestamps * timestamps = new whisper_vad_timestamps; - if (timestamps == NULL) { - WHISPER_LOG_ERROR("%s: failed to allocate memory for whisper_vad_timstamps\n", __func__); + whisper_vad_segments * vad_segments = new whisper_vad_segments; + if (vad_segments == NULL) { + WHISPER_LOG_ERROR("%s: failed to allocate memory for whisper_vad_segments\n", __func__); return nullptr; } - timestamps->segments = std::move(segments); - return timestamps; + vad_segments->segments = std::move(segments); + return vad_segments; } -struct whisper_vad_timestamps * whisper_vad_timestamps_from_samples( +struct whisper_vad_segments * whisper_vad_segments_from_samples( whisper_vad_context * vctx, whisper_vad_params params, const float * samples, int n_samples) { WHISPER_LOG_INFO("%s: detecting speech timestamps in %d samples\n", __func__, n_samples); auto probs = whisper_vad_detect_speech(vctx, samples, n_samples); - return whisper_vad_timestamps_from_probs(params, &probs); + return whisper_vad_segments_from_probs(params, &probs); } void whisper_vad_free(whisper_vad_context * ctx) { @@ -5487,7 +5487,7 @@ void whisper_vad_free_state(whisper_vad_state * state) { } } -void whisper_vad_free_timestamps(whisper_vad_timestamps * timestamps) { +void whisper_vad_free_segments(whisper_vad_segments * timestamps) { if (timestamps) { delete timestamps; } @@ -6650,36 +6650,36 @@ static bool whisper_vad( const whisper_vad_params & vad_params = params.vad_params; - whisper_vad_timestamps * timestamps = whisper_vad_timestamps_from_samples(vctx, vad_params, samples, n_samples); + whisper_vad_segments * vad_segments = whisper_vad_segments_from_samples(vctx, vad_params, samples, n_samples); - if (timestamps->segments.size() > 0) { + if (vad_segments->segments.size() > 0) { state->has_vad_segments = true; ctx->state->vad_segments.clear(); - ctx->state->vad_segments.reserve(timestamps->segments.size()); + ctx->state->vad_segments.reserve(vad_segments->segments.size()); - WHISPER_LOG_INFO("%s: detected %d speech segments\n", __func__, (int)timestamps->segments.size()); + WHISPER_LOG_INFO("%s: detected %d speech segments\n", __func__, (int)vad_segments->segments.size()); float overlap_seconds = vad_params.samples_overlap; int overlap_samples = overlap_seconds * WHISPER_SAMPLE_RATE; - for (int i = 0; i < (int)timestamps->segments.size(); i++) { - int segment_start_samples = timestamps->segments[i].start * WHISPER_SAMPLE_RATE; - int segment_end_samples = timestamps->segments[i].end * WHISPER_SAMPLE_RATE; + for (int i = 0; i < (int)vad_segments->segments.size(); i++) { + int segment_start_samples = vad_segments->segments[i].start * WHISPER_SAMPLE_RATE; + int segment_end_samples = vad_segments->segments[i].end * WHISPER_SAMPLE_RATE; - if (i < (int)timestamps->segments.size() - 1) { + if (i < (int)vad_segments->segments.size() - 1) { segment_end_samples += overlap_samples; } segment_end_samples = std::min(segment_end_samples, n_samples - 1); filtered_n_samples += (segment_end_samples - segment_start_samples); WHISPER_LOG_INFO("%s: Including segment %d: %.2f - %.2f (duration: %.2f)\n", - __func__, i, timestamps->segments[i].start, - timestamps->segments[i].end + (i < (int)timestamps->segments.size() - 1 ? overlap_seconds : 0), - (timestamps->segments[i].end - timestamps->segments[i].start) + - (i < (int)timestamps->segments.size() - 1 ? overlap_seconds : 0)); + __func__, i, vad_segments->segments[i].start, + vad_segments->segments[i].end + (i < (int)vad_segments->segments.size() - 1 ? overlap_seconds : 0), + (vad_segments->segments[i].end - vad_segments->segments[i].start) + + (i < (int)vad_segments->segments.size() - 1 ? overlap_seconds : 0)); } int silence_samples = 0.1 * WHISPER_SAMPLE_RATE; - int total_silence_samples = (timestamps->segments.size() > 1) ? (timestamps->segments.size() - 1) * silence_samples : 0; + int total_silence_samples = (vad_segments->segments.size() > 1) ? (vad_segments->segments.size() - 1) * silence_samples : 0; int total_samples_needed = filtered_n_samples + total_silence_samples; WHISPER_LOG_INFO("%s: total duration of speech segments: %.2f seconds\n", @@ -6689,17 +6689,17 @@ static bool whisper_vad( filtered_samples.resize(total_samples_needed); } catch (const std::bad_alloc & /* e */) { WHISPER_LOG_ERROR("%s: failed to allocate memory for filtered samples\n", __func__); - whisper_vad_free_timestamps(timestamps); + whisper_vad_free_segments(vad_segments); whisper_vad_free(vctx); return false; } int offset = 0; - for (int i = 0; i < (int)timestamps->segments.size(); i++) { - int segment_start_samples = timestamps->segments[i].start * WHISPER_SAMPLE_RATE; - int segment_end_samples = timestamps->segments[i].end * WHISPER_SAMPLE_RATE; + for (int i = 0; i < (int)vad_segments->segments.size(); i++) { + int segment_start_samples = vad_segments->segments[i].start * WHISPER_SAMPLE_RATE; + int segment_end_samples = vad_segments->segments[i].end * WHISPER_SAMPLE_RATE; - if (i < (int)timestamps->segments.size() - 1) { + if (i < (int)vad_segments->segments.size() - 1) { segment_end_samples += overlap_samples; } @@ -6710,8 +6710,8 @@ static bool whisper_vad( if (segment_length > 0) { whisper_state::vad_segment_info segment; - segment.orig_start = timestamps->segments[i].start; - segment.orig_end = timestamps->segments[i].end; + segment.orig_start = vad_segments->segments[i].start; + segment.orig_end = vad_segments->segments[i].end; segment.vad_start = offset / (float)WHISPER_SAMPLE_RATE; segment.vad_end = (offset + segment_length) / (float)WHISPER_SAMPLE_RATE; @@ -6725,7 +6725,7 @@ static bool whisper_vad( offset += segment_length; // Add silence after this segment (except after the last segment) - if (i < (int)timestamps->segments.size() - 1) { + if (i < (int)vad_segments->segments.size() - 1) { // Fill with zeros (silence) memset(filtered_samples.data() + offset, 0, silence_samples * sizeof(float)); offset += silence_samples; diff --git a/tests/test-vad.cpp b/tests/test-vad.cpp index 138a19c79f9..e4302622204 100644 --- a/tests/test-vad.cpp +++ b/tests/test-vad.cpp @@ -35,17 +35,17 @@ struct whisper_vad_probs test_detect_speech( return vad_probs; } -struct whisper_vad_timestamps * test_detect_timestamps( +struct whisper_vad_segments * test_detect_timestamps( struct whisper_vad_context * vctx, struct whisper_vad_params params, struct whisper_vad_probs * probs) { - struct whisper_vad_timestamps * timestamps = whisper_vad_timestamps_from_probs(params, probs); - assert(whisper_vad_timestamps_n_segments(timestamps) == 5); + struct whisper_vad_segments * timestamps = whisper_vad_segments_from_probs(params, probs); + assert(whisper_vad_segments_n_segments(timestamps) == 5); - for (int i = 0; i < whisper_vad_timestamps_n_segments(timestamps); ++i) { + for (int i = 0; i < whisper_vad_segments_n_segments(timestamps); ++i) { printf("VAD segment %d: start = %.2f, end = %.2f\n", i, - whisper_vad_timestamps_get_segment_t0(timestamps, i), - whisper_vad_timestamps_get_segment_t1(timestamps, i)); + whisper_vad_segments_get_segment_t0(timestamps, i), + whisper_vad_segments_get_segment_t1(timestamps, i)); } return timestamps; @@ -78,9 +78,9 @@ int main() { struct whisper_vad_probs probs = test_detect_speech(vctx, params, pcmf32.data(), pcmf32.size()); // Test speech timestamps (uses speech probabilities from above) - struct whisper_vad_timestamps * timestamps = test_detect_timestamps(vctx, params, &probs); + struct whisper_vad_segments * timestamps = test_detect_timestamps(vctx, params, &probs); - whisper_vad_free_timestamps(timestamps); + whisper_vad_free_segments(timestamps); whisper_vad_free(vctx); return 0; From dc541f933eacb469849a2a9e2458fe136ae1944f Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Sun, 11 May 2025 07:27:46 +0200 Subject: [PATCH 41/49] vad : remove whisper_vad_probs struct [no ci] This commit removes the `whisper_vad_probs` struct and the code now uses the probs in the vad context directly. --- include/whisper.h | 13 ++++++------- src/whisper.cpp | 36 +++++++++++++++++++++--------------- tests/test-vad.cpp | 19 ++++++++----------- 3 files changed, 35 insertions(+), 33 deletions(-) diff --git a/include/whisper.h b/include/whisper.h index 3eaa3883f41..3a8934de7e5 100644 --- a/include/whisper.h +++ b/include/whisper.h @@ -700,21 +700,20 @@ extern "C" { struct whisper_model_loader * loader, struct whisper_vad_context_params params); - struct whisper_vad_probs { - int n_probs; - float * probs; - }; - WHISPER_API struct whisper_vad_probs whisper_vad_detect_speech( + WHISPER_API bool whisper_vad_detect_speech( struct whisper_vad_context * vctx, const float * samples, int n_samples); + WHISPER_API int whisper_vad_n_probs(struct whisper_vad_context * vctx); + WHISPER_API float * whisper_vad_probs (struct whisper_vad_context * vctx); + struct whisper_vad_segments; WHISPER_API struct whisper_vad_segments * whisper_vad_segments_from_probs( - struct whisper_vad_params params, - struct whisper_vad_probs * probs); + struct whisper_vad_context * vctx, + struct whisper_vad_params params); WHISPER_API struct whisper_vad_segments * whisper_vad_segments_from_samples( struct whisper_vad_context * vctx, diff --git a/src/whisper.cpp b/src/whisper.cpp index 4bb5d95bb74..f7bb8bf8b42 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -5116,7 +5116,7 @@ struct whisper_vad_context * whisper_vad_init_with_params_no_state(struct whispe return vctx; } -struct whisper_vad_probs whisper_vad_detect_speech( +bool whisper_vad_detect_speech( struct whisper_vad_context * vctx, const float * samples, int n_samples) { @@ -5142,7 +5142,7 @@ struct whisper_vad_probs whisper_vad_detect_speech( if (!ggml_backend_sched_alloc_graph(sched, gf)) { WHISPER_LOG_ERROR("%s: failed to allocate the compute buffer\n", __func__); - return {}; + return false; } struct ggml_tensor * frame = ggml_graph_get_tensor(gf, "frame"); @@ -5195,12 +5195,7 @@ struct whisper_vad_probs whisper_vad_detect_speech( ggml_backend_sched_reset(sched); - struct whisper_vad_probs speech = { - /* n_probs = */ n_chunks, - /* probs = */ vctx->state->probs.data(), - }; - - return speech; + return true; } int whisper_vad_segments_n_segments(struct whisper_vad_segments * timestamps) { @@ -5215,13 +5210,21 @@ float whisper_vad_segments_get_segment_t1(struct whisper_vad_segments * timestam return timestamps->segments[i_segment].end; } +int whisper_vad_n_probs(struct whisper_vad_context * vctx) { + return vctx->state->probs.size(); +} + +float * whisper_vad_probs(struct whisper_vad_context * vctx) { + return vctx->state->probs.data(); +} + struct whisper_vad_segments * whisper_vad_segments_from_probs( - whisper_vad_params params, - whisper_vad_probs * vad_probs) { - WHISPER_LOG_INFO("%s: detecting speech timestamps using %d probabilities\n", __func__, vad_probs->n_probs); + struct whisper_vad_context * vctx, + whisper_vad_params params) { + WHISPER_LOG_INFO("%s: detecting speech timestamps using %d probabilities\n", __func__, whisper_vad_n_probs(vctx)); - int n_probs = vad_probs->n_probs; - float * probs = vad_probs->probs; + int n_probs = whisper_vad_n_probs(vctx); + float * probs = whisper_vad_probs(vctx); float threshold = params.threshold; int min_speech_duration_ms = params.min_speech_duration_ms; int min_silence_duration_ms = params.min_silence_duration_ms; @@ -5455,8 +5458,11 @@ struct whisper_vad_segments * whisper_vad_segments_from_samples( const float * samples, int n_samples) { WHISPER_LOG_INFO("%s: detecting speech timestamps in %d samples\n", __func__, n_samples); - auto probs = whisper_vad_detect_speech(vctx, samples, n_samples); - return whisper_vad_segments_from_probs(params, &probs); + if (!whisper_vad_detect_speech(vctx, samples, n_samples)) { + WHISPER_LOG_ERROR("%s: failed to detect speech\n", __func__); + return nullptr; + } + return whisper_vad_segments_from_probs(vctx, params); } void whisper_vad_free(whisper_vad_context * ctx) { diff --git a/tests/test-vad.cpp b/tests/test-vad.cpp index e4302622204..734e9ba366e 100644 --- a/tests/test-vad.cpp +++ b/tests/test-vad.cpp @@ -23,23 +23,20 @@ void assert_default_context_params(const struct whisper_vad_context_params & par assert(params.gpu_device == 0); } -struct whisper_vad_probs test_detect_speech( +void test_detect_speech( struct whisper_vad_context * vctx, struct whisper_vad_params params, const float * pcmf32, int n_samples) { - struct whisper_vad_probs vad_probs = whisper_vad_detect_speech(vctx, pcmf32, n_samples); - assert(vad_probs.n_probs == 344); - assert(vad_probs.probs != nullptr); - - return vad_probs; + assert(whisper_vad_detect_speech(vctx, pcmf32, n_samples)); + assert(whisper_vad_n_probs(vctx) == 344); + assert(whisper_vad_probs(vctx) != nullptr); } struct whisper_vad_segments * test_detect_timestamps( struct whisper_vad_context * vctx, - struct whisper_vad_params params, - struct whisper_vad_probs * probs) { - struct whisper_vad_segments * timestamps = whisper_vad_segments_from_probs(params, probs); + struct whisper_vad_params params) { + struct whisper_vad_segments * timestamps = whisper_vad_segments_from_probs(vctx, params); assert(whisper_vad_segments_n_segments(timestamps) == 5); for (int i = 0; i < whisper_vad_segments_n_segments(timestamps); ++i) { @@ -75,10 +72,10 @@ int main() { assert_default_params(params); // Test speech probabilites - struct whisper_vad_probs probs = test_detect_speech(vctx, params, pcmf32.data(), pcmf32.size()); + test_detect_speech(vctx, params, pcmf32.data(), pcmf32.size()); // Test speech timestamps (uses speech probabilities from above) - struct whisper_vad_segments * timestamps = test_detect_timestamps(vctx, params, &probs); + struct whisper_vad_segments * timestamps = test_detect_timestamps(vctx, params); whisper_vad_free_segments(timestamps); whisper_vad_free(vctx); From 163ad538474b4c46ed824d562109882e717313b4 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Sun, 11 May 2025 10:01:39 +0200 Subject: [PATCH 42/49] vad : remove whisper_vad_state struct This commit merges the whisper_vad_state with the whisper_vad_context struct and removes the whisper_vad_state struct. --- include/whisper.h | 34 +++------- src/whisper.cpp | 157 ++++++++++++++++++---------------------------- 2 files changed, 72 insertions(+), 119 deletions(-) diff --git a/include/whisper.h b/include/whisper.h index 3a8934de7e5..910b3d23182 100644 --- a/include/whisper.h +++ b/include/whisper.h @@ -674,7 +674,6 @@ extern "C" { // struct whisper_vad_context; - struct whisper_vad_state; WHISPER_API struct whisper_vad_params whisper_vad_default_params(void); @@ -686,25 +685,13 @@ extern "C" { WHISPER_API struct whisper_vad_context_params whisper_vad_default_context_params(void); - WHISPER_API struct whisper_vad_state * whisper_vad_init_state(struct whisper_vad_context * ctx); - - WHISPER_API struct whisper_vad_context * whisper_vad_init_from_file_with_params( - const char * path_model, - const struct whisper_vad_context_params params); - - WHISPER_API struct whisper_vad_context * whisper_vad_init_from_file_with_params_no_state( - const char * path_model, - const struct whisper_vad_context_params params); - - WHISPER_API struct whisper_vad_context * whisper_vad_init_with_params_no_state( - struct whisper_model_loader * loader, - struct whisper_vad_context_params params); - + WHISPER_API struct whisper_vad_context * whisper_vad_init_from_file_with_params(const char * path_model, struct whisper_vad_context_params params); + WHISPER_API struct whisper_vad_context * whisper_vad_init_with_params (struct whisper_model_loader * loader, struct whisper_vad_context_params params); WHISPER_API bool whisper_vad_detect_speech( struct whisper_vad_context * vctx, - const float * samples, - int n_samples); + const float * samples, + int n_samples); WHISPER_API int whisper_vad_n_probs(struct whisper_vad_context * vctx); WHISPER_API float * whisper_vad_probs (struct whisper_vad_context * vctx); @@ -713,22 +700,21 @@ extern "C" { WHISPER_API struct whisper_vad_segments * whisper_vad_segments_from_probs( struct whisper_vad_context * vctx, - struct whisper_vad_params params); + struct whisper_vad_params params); WHISPER_API struct whisper_vad_segments * whisper_vad_segments_from_samples( struct whisper_vad_context * vctx, - struct whisper_vad_params params, - const float * samples, - int n_samples); + struct whisper_vad_params params, + const float * samples, + int n_samples); WHISPER_API int whisper_vad_segments_n_segments(struct whisper_vad_segments * segments); WHISPER_API float whisper_vad_segments_get_segment_t0(struct whisper_vad_segments * segments, int i_segment); WHISPER_API float whisper_vad_segments_get_segment_t1(struct whisper_vad_segments * segments, int i_segment); - WHISPER_API void whisper_vad_free_segments(struct whisper_vad_segments * segments); - WHISPER_API void whisper_vad_free_state (struct whisper_vad_state * state); - WHISPER_API void whisper_vad_free (struct whisper_vad_context * ctx); + WHISPER_API void whisper_vad_free_segments (struct whisper_vad_segments * segments); + WHISPER_API void whisper_vad_free (struct whisper_vad_context * ctx); //////////////////////////////////////////////////////////////////////////// diff --git a/src/whisper.cpp b/src/whisper.cpp index f7bb8bf8b42..80a63183cd1 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -4414,22 +4414,6 @@ struct whisper_vad_model { std::map tensors; }; -struct whisper_vad_state { - int64_t t_vad_us = 0; - std::vector backends; - - struct ggml_tensor * h_state; - struct ggml_tensor * c_state; - - ggml_backend_buffer_t buffer = nullptr; - - std::vector ctx_buf; - - whisper_sched sched; - - std::vector probs; -}; - struct whisper_vad_segment { float start; // Start time in seconds float end; // End time in seconds @@ -4440,19 +4424,23 @@ struct whisper_vad_segments { }; struct whisper_vad_context { - int64_t t_load_us = 0; - int64_t t_start_us = 0; + int64_t t_vad_us = 0; int n_window; int n_context; int n_threads; - whisper_vad_model model; - whisper_vad_state * state = nullptr; - - whisper_context_params params; + std::vector backends; + ggml_backend_buffer_t buffer = nullptr; + whisper_context_params params; + std::vector ctx_buf; + whisper_sched sched; - std::string path_model; + whisper_vad_model model; + std::string path_model; + struct ggml_tensor * h_state; + struct ggml_tensor * c_state; + std::vector probs; }; struct whisper_vad_context_params whisper_vad_default_context_params(void) { @@ -4596,7 +4584,7 @@ static ggml_tensor * whisper_vad_build_lstm_layer(ggml_context * ctx0, inp_gate = ggml_add(ctx0, inp_gate, model.lstm_ih_bias); // Create operations using the hidden-to-hidden weights. - struct ggml_tensor * hid_gate = ggml_mul_mat(ctx0, model.lstm_hh_weight, vctx.state->h_state); + struct ggml_tensor * hid_gate = ggml_mul_mat(ctx0, model.lstm_hh_weight, vctx.h_state); hid_gate = ggml_add(ctx0, hid_gate, model.lstm_hh_bias); // Create add operation to get preactivations for all gates. @@ -4618,13 +4606,13 @@ static ggml_tensor * whisper_vad_build_lstm_layer(ggml_context * ctx0, // Update cell state struct ggml_tensor * c_out = ggml_add(ctx0, - ggml_mul(ctx0, f_t, vctx.state->c_state), + ggml_mul(ctx0, f_t, vctx.c_state), ggml_mul(ctx0, i_t, g_t)); - ggml_build_forward_expand(gf, ggml_cpy(ctx0, c_out, vctx.state->c_state)); + ggml_build_forward_expand(gf, ggml_cpy(ctx0, c_out, vctx.c_state)); // Update hidden state struct ggml_tensor * out = ggml_mul(ctx0, o_t, ggml_tanh(ctx0, c_out)); - ggml_build_forward_expand(gf, ggml_cpy(ctx0, out, vctx.state->h_state)); + ggml_build_forward_expand(gf, ggml_cpy(ctx0, out, vctx.h_state)); return out; } @@ -4633,8 +4621,8 @@ static struct ggml_cgraph * whisper_vad_build_graph(whisper_vad_context & vctx) const auto & model = vctx.model; struct ggml_init_params params = { - /*.mem_size =*/ vctx.state->sched.meta.size(), - /*.mem_buffer =*/ vctx.state->sched.meta.data(), + /*.mem_size =*/ vctx.sched.meta.size(), + /*.mem_buffer =*/ vctx.sched.meta.data(), /*.no_alloc =*/ true, }; @@ -4672,9 +4660,7 @@ static struct ggml_cgraph * whisper_vad_build_graph(whisper_vad_context & vctx) return gf; } -struct whisper_vad_state * whisper_vad_init_state(whisper_vad_context * vctx) { - whisper_vad_state * state = new whisper_vad_state; - vctx->state = state; +static bool whisper_vad_init_context(whisper_vad_context * vctx) { auto whisper_context_params = whisper_context_default_params(); // TODO: GPU VAD is forced disabled until the performance is improved @@ -4682,82 +4668,62 @@ struct whisper_vad_state * whisper_vad_init_state(whisper_vad_context * vctx) { whisper_context_params.use_gpu = false; whisper_context_params.gpu_device = vctx->params.gpu_device; - state->backends = whisper_backend_init(whisper_context_params); - if (state->backends.empty()) { + vctx->backends = whisper_backend_init(whisper_context_params); + if (vctx->backends.empty()) { WHISPER_LOG_ERROR("%s: whisper_backend_init() failed\n", __func__); - whisper_vad_free_state(state); - return nullptr; + return false; } const int32_t lstm_hidden_size = vctx->model.hparams.lstm_hidden_size; - state->ctx_buf.resize(2u*ggml_tensor_overhead()); + vctx->ctx_buf.resize(2u*ggml_tensor_overhead()); struct ggml_init_params params = { - /*.mem_size =*/ state->ctx_buf.size(), - /*.mem_buffer =*/ state->ctx_buf.data(), + /*.mem_size =*/ vctx->ctx_buf.size(), + /*.mem_buffer =*/ vctx->ctx_buf.data(), /*.no_alloc =*/ true, }; ggml_context * ctx = ggml_init(params); if (!ctx) { WHISPER_LOG_ERROR("%s: failed to init LSTM state ggml context\n", __func__); - whisper_vad_free_state(state); - return nullptr; + return false; } // LSTM Hidden state - state->h_state = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, lstm_hidden_size); - ggml_set_name(state->h_state, "h_state"); + vctx->h_state = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, lstm_hidden_size); + ggml_set_name(vctx->h_state, "h_state"); // LSTM Cell state - state->c_state = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, lstm_hidden_size); - ggml_set_name(state->c_state, "c_state"); + vctx->c_state = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, lstm_hidden_size); + ggml_set_name(vctx->c_state, "c_state"); - state->buffer = ggml_backend_alloc_ctx_tensors(ctx, state->backends[0]); - if (!state->buffer) { + vctx->buffer = ggml_backend_alloc_ctx_tensors(ctx, vctx->backends[0]); + if (!vctx->buffer) { WHISPER_LOG_ERROR("%s: failed to allocate memory for the VAD state\n", __func__); - whisper_vad_free_state(state); - return nullptr; + return false; } { - bool ok = whisper_sched_graph_init(state->sched, state->backends, + bool ok = whisper_sched_graph_init(vctx->sched, vctx->backends, [&]() { return whisper_vad_build_graph(*vctx); }); if (!ok) { WHISPER_LOG_ERROR("%s: failed to init VAD allocator\n", __func__); - whisper_vad_free_state(state); - return nullptr; + return false; } - WHISPER_LOG_INFO("%s: compute buffer (VAD) = %7.2f MB\n", __func__, whisper_sched_size(state->sched) / 1e6); + WHISPER_LOG_INFO("%s: compute buffer (VAD) = %7.2f MB\n", __func__, whisper_sched_size(vctx->sched) / 1e6); } - return state; + return true; } struct whisper_vad_context * whisper_vad_init_from_file_with_params( - const char * path_model, struct whisper_vad_context_params params) { - whisper_vad_context * ctx = whisper_vad_init_from_file_with_params_no_state(path_model, params); - if (!ctx) { - return nullptr; - } - - whisper_vad_init_state(ctx); - if (!ctx->state) { - whisper_vad_free(ctx); - return nullptr; - } - - return ctx; -} - -whisper_vad_context * whisper_vad_init_from_file_with_params_no_state( const char * path_model, - const whisper_vad_context_params params) { + struct whisper_vad_context_params params) { WHISPER_LOG_INFO("%s: loading VAD model from '%s'\n", __func__, path_model); #ifdef _MSC_VER std::wstring_convert> converter; @@ -4790,15 +4756,18 @@ whisper_vad_context * whisper_vad_init_from_file_with_params_no_state( fin->close(); }; - auto ctx = whisper_vad_init_with_params_no_state(&loader, params); - if (ctx) { - ctx->path_model = path_model; + auto ctx = whisper_vad_init_with_params(&loader, params); + if (!ctx) { + whisper_vad_free(ctx); + return nullptr; } - + ctx->path_model = path_model; return ctx; } -struct whisper_vad_context * whisper_vad_init_with_params_no_state(struct whisper_model_loader * loader, struct whisper_vad_context_params params) { +struct whisper_vad_context * whisper_vad_init_with_params( + struct whisper_model_loader * loader, + struct whisper_vad_context_params params) { // Read the VAD model { uint32_t magic; @@ -5113,6 +5082,11 @@ struct whisper_vad_context * whisper_vad_init_with_params_no_state(struct whispe } + if (!whisper_vad_init_context(vctx)) { + whisper_vad_free(vctx); + return nullptr; + } + return vctx; } @@ -5129,14 +5103,14 @@ bool whisper_vad_detect_speech( WHISPER_LOG_INFO("%s: n_chunks: %d\n", __func__, n_chunks); // Reset LSTM hidden/cell states - ggml_backend_buffer_clear(vctx->state->buffer, 0); + ggml_backend_buffer_clear(vctx->buffer, 0); - vctx->state->probs.resize(n_chunks); + vctx->probs.resize(n_chunks); WHISPER_LOG_INFO("%s: props size: %u\n", __func__, n_chunks); std::vector window(vctx->n_window, 0.0f); - auto & sched = vctx->state->sched.sched; + auto & sched = vctx->sched.sched; ggml_cgraph * gf = whisper_vad_build_graph(*vctx); @@ -5185,13 +5159,13 @@ bool whisper_vad_detect_speech( } // Get the probability for this chunk. - ggml_backend_tensor_get(prob, &vctx->state->probs[i], 0, sizeof(float)); + ggml_backend_tensor_get(prob, &vctx->probs[i], 0, sizeof(float)); //WHISPER_LOG_DEBUG("chunk %d: p = %7.3f\n", i, probs[i]); } - vctx->state->t_vad_us += ggml_time_us() - t_start_vad_us; - WHISPER_LOG_INFO("%s: vad time = %.2f ms processing %d samples\n", __func__, 1e-3f * vctx->state->t_vad_us, n_samples); + vctx->t_vad_us += ggml_time_us() - t_start_vad_us; + WHISPER_LOG_INFO("%s: vad time = %.2f ms processing %d samples\n", __func__, 1e-3f * vctx->t_vad_us, n_samples); ggml_backend_sched_reset(sched); @@ -5211,11 +5185,11 @@ float whisper_vad_segments_get_segment_t1(struct whisper_vad_segments * timestam } int whisper_vad_n_probs(struct whisper_vad_context * vctx) { - return vctx->state->probs.size(); + return vctx->probs.size(); } float * whisper_vad_probs(struct whisper_vad_context * vctx) { - return vctx->state->probs.data(); + return vctx->probs.data(); } struct whisper_vad_segments * whisper_vad_segments_from_probs( @@ -5475,21 +5449,14 @@ void whisper_vad_free(whisper_vad_context * ctx) { ggml_backend_buffer_free(buf); } - whisper_vad_free_state(ctx->state); - - delete ctx; - } -} - -void whisper_vad_free_state(whisper_vad_state * state) { - if (state) { - ggml_backend_sched_free(state->sched.sched); + ggml_backend_sched_free(ctx->sched.sched); - for (auto & backend : state->backends) { + for (auto & backend : ctx->backends) { ggml_backend_free(backend); } - delete state; + + delete ctx; } } From 810981f4cf4bdc3ebe954f46bd10bd452a442db7 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Mon, 12 May 2025 13:23:40 +0200 Subject: [PATCH 43/49] vad : remove window_size_samples from VAD params This commit removes the window_size_samples parameter from the VAD parameters in the Whisper library. The window size is now determined by the number of windows in the VAD context, which is set to 512 by default and is set by the model. --- examples/cli/cli.cpp | 4 ---- include/whisper.h | 1 - src/whisper.cpp | 9 ++++----- tests/test-vad-full.cpp | 1 - tests/test-vad.cpp | 1 - 5 files changed, 4 insertions(+), 12 deletions(-) diff --git a/examples/cli/cli.cpp b/examples/cli/cli.cpp index a26f8865bc9..25215f3ab0e 100644 --- a/examples/cli/cli.cpp +++ b/examples/cli/cli.cpp @@ -107,7 +107,6 @@ struct whisper_params { int vad_min_silence_duration_ms = 100; float vad_max_speech_duration_s = FLT_MAX; int vad_speech_pad_ms = 30; - int vad_window_size_samples = 512; float vad_samples_overlap = 0.1f; }; @@ -205,7 +204,6 @@ static bool whisper_params_parse(int argc, char ** argv, whisper_params & params else if (arg == "-vsd" || arg == "--vad-min-silence-duration-ms") { params.vad_min_speech_duration_ms = std::stoi(ARGV_NEXT); } else if (arg == "-vmsd" || arg == "--vad-max-speech-duration-s") { params.vad_max_speech_duration_s = std::stof(ARGV_NEXT); } else if (arg == "-vp" || arg == "--vad-speech-pad-ms") { params.vad_speech_pad_ms = std::stoi(ARGV_NEXT); } - else if (arg == "-vs" || arg == "--vad-window-size-samples") { params.vad_window_size_samples = std::stoi(ARGV_NEXT); } else if (arg == "-vo" || arg == "--vad-samples-overlap") { params.vad_samples_overlap = std::stof(ARGV_NEXT); } else { fprintf(stderr, "error: unknown argument: %s\n", arg.c_str()); @@ -281,7 +279,6 @@ static void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params fprintf(stderr, " -v, --vad [%-7s] enable Voice Activity Detection (VAD)\n", params.vad ? "true" : "false"); fprintf(stderr, " -vm FNAME, --vad-model FNAME [%-7s] VAD model path\n", params.vad_model.c_str()); fprintf(stderr, " -vt N, --vad-threshold N [%-7.2f] VAD threshold for speech recognition\n", params.vad_threshold); - fprintf(stderr, " -vs N, --vad-window-size-samples N [%-7d] VAD window size\n", params.vad_window_size_samples); fprintf(stderr, " -vspd N, --vad-min-speech-duration-ms N [%-7d] VAD min speech duration\n", params.vad_min_speech_duration_ms); fprintf(stderr, " -vsd N, --vad-min-silence-duration-ms N [%-7d] VAD min silence duration\n", params.vad_min_silence_duration_ms); fprintf(stderr, " -vmsd N, --vad-max-speech-duration-s N [%-7s] VAD max speech duration\n", params.vad_max_speech_duration_s == FLT_MAX ? @@ -1174,7 +1171,6 @@ int main(int argc, char ** argv) { wparams.vad_params.min_silence_duration_ms = params.vad_min_silence_duration_ms; wparams.vad_params.max_speech_duration_s = params.vad_max_speech_duration_s; wparams.vad_params.speech_pad_ms = params.vad_speech_pad_ms; - wparams.vad_params.window_size_samples = params.vad_window_size_samples; wparams.vad_params.samples_overlap = params.vad_samples_overlap; whisper_print_user_data user_data = { ¶ms, &pcmf32s, 0 }; diff --git a/include/whisper.h b/include/whisper.h index 910b3d23182..bfbb827be71 100644 --- a/include/whisper.h +++ b/include/whisper.h @@ -195,7 +195,6 @@ extern "C" { int min_silence_duration_ms; // Min silence duration to consider speech as ended. float max_speech_duration_s; // Max duration of a speech segment before forcing a new segment. int speech_pad_ms; // Padding added before and after speech segments. - int window_size_samples; // Number of audio samples in each probability window. float samples_overlap; // Overlap in seconds when copying audio samples from speech segment. } whisper_vad_params; diff --git a/src/whisper.cpp b/src/whisper.cpp index 80a63183cd1..0ec5902727c 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -4459,7 +4459,6 @@ struct whisper_vad_params whisper_vad_default_params(void) { /* min_silence_duration_ms = */ 100, /* max_speech_duration_s = */ FLT_MAX, /* speech_pad_ms = */ 30, - /* window_size_samples = */ 512, /* samples_overlap = */ 0.1, }; return result; @@ -5204,10 +5203,10 @@ struct whisper_vad_segments * whisper_vad_segments_from_probs( int min_silence_duration_ms = params.min_silence_duration_ms; float max_speech_duration_s = params.max_speech_duration_s; int speech_pad_ms = params.speech_pad_ms; - int window_size_samples = params.window_size_samples; + int n_window = vctx->n_window; int sample_rate = WHISPER_SAMPLE_RATE; int min_silence_samples = sample_rate * min_silence_duration_ms / 1000; - int audio_length_samples = n_probs * window_size_samples; + int audio_length_samples = n_probs * n_window; // Min number of samples to be considered valid speech. int min_speech_samples = sample_rate * min_speech_duration_ms / 1000; @@ -5219,7 +5218,7 @@ struct whisper_vad_segments * whisper_vad_segments_from_probs( if (max_speech_duration_s > 100000.0f) { max_speech_samples = INT_MAX / 2; } else { - int64_t temp = (int64_t)sample_rate * (int64_t)(max_speech_duration_s) - window_size_samples - 2 * speech_pad_samples; + int64_t temp = (int64_t)sample_rate * (int64_t)(max_speech_duration_s) - n_window - 2 * speech_pad_samples; max_speech_samples = (temp > INT_MAX) ? INT_MAX / 2 : (int)temp; if (max_speech_samples < 0) { max_speech_samples = INT_MAX / 2; @@ -5255,7 +5254,7 @@ struct whisper_vad_segments * whisper_vad_segments_from_probs( for (int i = 0; i < n_probs; i++) { float curr_prob = probs[i]; - int curr_sample = window_size_samples * i; + int curr_sample = n_window * i; // Reset temp_end when we get back to speech if ((curr_prob >= threshold) && temp_end) { diff --git a/tests/test-vad-full.cpp b/tests/test-vad-full.cpp index d01d387e827..9eac11ed2db 100644 --- a/tests/test-vad-full.cpp +++ b/tests/test-vad-full.cpp @@ -36,7 +36,6 @@ int main() { wparams.vad_params.min_silence_duration_ms = 100; wparams.vad_params.max_speech_duration_s = FLT_MAX; wparams.vad_params.speech_pad_ms = 30; - wparams.vad_params.window_size_samples = 512; assert(whisper_full_parallel(wctx, wparams, pcmf32.data(), pcmf32.size(), 1) == 0); diff --git a/tests/test-vad.cpp b/tests/test-vad.cpp index 734e9ba366e..e6886e31027 100644 --- a/tests/test-vad.cpp +++ b/tests/test-vad.cpp @@ -13,7 +13,6 @@ void assert_default_params(const struct whisper_vad_params & params) { assert(params.threshold == 0.5); assert(params.min_speech_duration_ms == 250); assert(params.min_silence_duration_ms == 100); - assert(params.window_size_samples == 512); assert(params.samples_overlap == 0.1f); } From 050038ca4cb3b8244f435daeef70decb0ae97259 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Mon, 12 May 2025 14:04:45 +0200 Subject: [PATCH 44/49] vad : clarify VAD CLI options [no ci] --- examples/cli/cli.cpp | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/examples/cli/cli.cpp b/examples/cli/cli.cpp index 25215f3ab0e..7cf1e3bf1bb 100644 --- a/examples/cli/cli.cpp +++ b/examples/cli/cli.cpp @@ -276,16 +276,16 @@ static void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params fprintf(stderr, " --grammar-penalty N [%-7.1f] scales down logits of nongrammar tokens\n", params.grammar_penalty); // Voice Activity Detection (VAD) parameters fprintf(stderr, "\nVoice Activity Detection (VAD) options:\n"); - fprintf(stderr, " -v, --vad [%-7s] enable Voice Activity Detection (VAD)\n", params.vad ? "true" : "false"); - fprintf(stderr, " -vm FNAME, --vad-model FNAME [%-7s] VAD model path\n", params.vad_model.c_str()); - fprintf(stderr, " -vt N, --vad-threshold N [%-7.2f] VAD threshold for speech recognition\n", params.vad_threshold); - fprintf(stderr, " -vspd N, --vad-min-speech-duration-ms N [%-7d] VAD min speech duration\n", params.vad_min_speech_duration_ms); - fprintf(stderr, " -vsd N, --vad-min-silence-duration-ms N [%-7d] VAD min silence duration\n", params.vad_min_silence_duration_ms); - fprintf(stderr, " -vmsd N, --vad-max-speech-duration-s N [%-7s] VAD max speech duration\n", params.vad_max_speech_duration_s == FLT_MAX ? - std::string("FLT_MAX").c_str() : - std::to_string(params.vad_max_speech_duration_s).c_str()); - fprintf(stderr, " -vp N, --vad_speech_pad_ms N [%-7d] VAD speech padding\n", params.vad_speech_pad_ms); - fprintf(stderr, " -vo N, --vad_samples_overlap N [%-7.2f] VAD samples overlap size\n", params.vad_samples_overlap); + fprintf(stderr, " -v, --vad [%-7s] enable Voice Activity Detection (VAD)\n", params.vad ? "true" : "false"); + fprintf(stderr, " -vm FNAME, --vad-model FNAME [%-7s] VAD model path\n", params.vad_model.c_str()); + fprintf(stderr, " -vt N, --vad-threshold N [%-7.2f] VAD threshold for speech recognition\n", params.vad_threshold); + fprintf(stderr, " -vspd N, --vad-min-speech-duration-ms N [%-7d] VAD min speech duration (0.0-1.0)\n", params.vad_min_speech_duration_ms); + fprintf(stderr, " -vsd N, --vad-min-silence-duration-ms N [%-7d] VAD min silence duration (to split segments)\n", params.vad_min_silence_duration_ms); + fprintf(stderr, " -vmsd N, --vad-max-speech-duration-s N [%-7s] VAD max speech duration (auto-split longer)\n", params.vad_max_speech_duration_s == FLT_MAX ? + std::string("FLT_MAX").c_str() : + std::to_string(params.vad_max_speech_duration_s).c_str()); + fprintf(stderr, " -vp N, --vad_speech_pad_ms N [%-7d] VAD speech padding (extend segments)\n", params.vad_speech_pad_ms); + fprintf(stderr, " -vo N, --vad_samples_overlap N [%-7.2f] VAD samples overlap (seconds between segments)\n", params.vad_samples_overlap); fprintf(stderr, "\n"); } From 3cff65876576dfeef11ba952e6fa9068f713da1f Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Mon, 12 May 2025 14:05:06 +0200 Subject: [PATCH 45/49] docs : add VAD section to README.md [no ci] This commit adds a VAD section to the README.md file, providing information about Voice Activity Detection (VAD) support. I've included the whisper-cli options mainly becuase adding them to the usage/help output would make the output a bit long and inconsistent as the other options are pretty short and concise. --- README.md | 58 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 58 insertions(+) diff --git a/README.md b/README.md index c9aa82157b3..1c4bc68d0d1 100644 --- a/README.md +++ b/README.md @@ -25,6 +25,7 @@ High-performance inference of [OpenAI's Whisper](https://github.com/openai/whisp - [Ascend NPU Support](#ascend-npu-support) - [Moore Threads GPU Support](#moore-threads-gpu-support) - [C-style API](https://github.com/ggml-org/whisper.cpp/blob/master/include/whisper.h) +- [Voice Activity Detection (VAD)](#voice-activity-detection-vad) Supported platforms: @@ -732,6 +733,63 @@ let package = Package( ) ``` +### Voice Activity Detection (VAD) +Support for Voice Activity Detection (VAD) can be enabled using the `--vad` +argument to `whisper-cli`. In addition to this option a VAD model is also +required. + +The way this works is that first the audio samples are passed through +the VAD model which will detect speech segments. Using this information the +only the speech segments that are detected are extracted from the original audio +input and passed to whisper for processing. This reduces the amount of audio +data that needs to be processed by whisper and can significantly speed up the +transcription process. + +The following VAD models are currently supported: + +#### Silero-VAD +[Silero-vad](https://github.com/snakers4/silero-vad) is a lightweight VAD model +written in Python that is fast and accurate. + +This model can be converted to ggml using the following command: +```console +$ python3 -m venv venv && source venv/bin/activate +$ (venv) pip install silero-vad +$ (venv) $ python models/convert-silero-vad-to-ggml.py --output models/silero.bin +Saving GGML Silero-VAD model to models/silero-v5.1.2-ggml.bin +``` +And it can the be used with whisper as follows: +```console +$ ./build/bin/whisper-cli \ + --file ./samples/jfk.wav \ + --model ./models/ggml-base.en.bin \ + --vad \ + --vad-model ./models/for-tests-silero-v5.1.2-ggml.bin +``` + +#### VAD Options +* --vad-threshold: Threshold probability for speech detection. A probability +for a speech segment/frame above this threshold will be considered as speech. + +* --vad-min-speech-duration-ms: Minimum speech duration in milliseconds. Speech +segments shorter than this value will be discarded to filter out brief noise or +false positives. + +* --vad-min-silence-duration-ms: Minimum silence duration in milliseconds. Silence +periods must be at least this long to end a speech segment. Shorter silence +periods will be ignored and included as part of the speech. + +* --vad-max-speech-duration-s: Maximum speech duration in seconds. Speech segments +longer than this will be automatically split into multiple segments at silence +points exceeding 98ms to prevent excessively long segments. + +* --vad_speech_pad_ms: Speech padding in milliseconds. Adds this amount of padding +before and after each detected speech segment to avoid cutting off speech edges. + +* --vad_samples_overlap: Amount of audio to extend from each speech segment into +the next one, in seconds (e.g., 0.10 = 100ms overlap). This ensures speech isn't +cut off abruptly between segments when they're concatenated together. + ## Examples There are various examples of using the library for different projects in the [examples](examples) folder. From acc8747dfe48cc7facc609952b266e1ec351a1e9 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Mon, 12 May 2025 14:08:57 +0200 Subject: [PATCH 46/49] squash! docs : add VAD section to README.md [no ci] Fix vad model typo and spelling mistake. --- README.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 1c4bc68d0d1..5126c0a34ee 100644 --- a/README.md +++ b/README.md @@ -758,16 +758,17 @@ $ (venv) pip install silero-vad $ (venv) $ python models/convert-silero-vad-to-ggml.py --output models/silero.bin Saving GGML Silero-VAD model to models/silero-v5.1.2-ggml.bin ``` -And it can the be used with whisper as follows: +And it can then be used with whisper as follows: ```console $ ./build/bin/whisper-cli \ --file ./samples/jfk.wav \ --model ./models/ggml-base.en.bin \ --vad \ - --vad-model ./models/for-tests-silero-v5.1.2-ggml.bin + --vad-model ./models/silero-v5.1.2-ggml.bin ``` #### VAD Options + * --vad-threshold: Threshold probability for speech detection. A probability for a speech segment/frame above this threshold will be considered as speech. From 7aac6ecae2585e9d66e52f264a2ef4262a18e464 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Mon, 12 May 2025 16:46:08 +0300 Subject: [PATCH 47/49] vad : minor rename --- include/whisper.h | 6 ++--- src/whisper.cpp | 62 ++++++++++++++++++++++++----------------------- 2 files changed, 35 insertions(+), 33 deletions(-) diff --git a/include/whisper.h b/include/whisper.h index bfbb827be71..4aeda98f334 100644 --- a/include/whisper.h +++ b/include/whisper.h @@ -699,7 +699,7 @@ extern "C" { WHISPER_API struct whisper_vad_segments * whisper_vad_segments_from_probs( struct whisper_vad_context * vctx, - struct whisper_vad_params params); + struct whisper_vad_params params); WHISPER_API struct whisper_vad_segments * whisper_vad_segments_from_samples( struct whisper_vad_context * vctx, @@ -712,8 +712,8 @@ extern "C" { WHISPER_API float whisper_vad_segments_get_segment_t0(struct whisper_vad_segments * segments, int i_segment); WHISPER_API float whisper_vad_segments_get_segment_t1(struct whisper_vad_segments * segments, int i_segment); - WHISPER_API void whisper_vad_free_segments (struct whisper_vad_segments * segments); - WHISPER_API void whisper_vad_free (struct whisper_vad_context * ctx); + WHISPER_API void whisper_vad_free_segments(struct whisper_vad_segments * segments); + WHISPER_API void whisper_vad_free (struct whisper_vad_context * ctx); //////////////////////////////////////////////////////////////////////////// diff --git a/src/whisper.cpp b/src/whisper.cpp index 0ec5902727c..dcfdc992fed 100644 --- a/src/whisper.cpp +++ b/src/whisper.cpp @@ -4420,7 +4420,7 @@ struct whisper_vad_segment { }; struct whisper_vad_segments { - std::vector segments; + std::vector data; }; struct whisper_vad_context { @@ -5171,16 +5171,16 @@ bool whisper_vad_detect_speech( return true; } -int whisper_vad_segments_n_segments(struct whisper_vad_segments * timestamps) { - return timestamps->segments.size(); +int whisper_vad_segments_n_segments(struct whisper_vad_segments * segments) { + return segments->data.size(); } -float whisper_vad_segments_get_segment_t0(struct whisper_vad_segments * timestamps, int i_segment) { - return timestamps->segments[i_segment].start; +float whisper_vad_segments_get_segment_t0(struct whisper_vad_segments * segments, int i_segment) { + return segments->data[i_segment].start; } -float whisper_vad_segments_get_segment_t1(struct whisper_vad_segments * timestamps, int i_segment) { - return timestamps->segments[i_segment].end; +float whisper_vad_segments_get_segment_t1(struct whisper_vad_segments * segments, int i_segment) { + return segments->data[i_segment].end; } int whisper_vad_n_probs(struct whisper_vad_context * vctx) { @@ -5421,7 +5421,9 @@ struct whisper_vad_segments * whisper_vad_segments_from_probs( WHISPER_LOG_ERROR("%s: failed to allocate memory for whisper_vad_segments\n", __func__); return nullptr; } - vad_segments->segments = std::move(segments); + + vad_segments->data = std::move(segments); + return vad_segments; } @@ -5459,9 +5461,9 @@ void whisper_vad_free(whisper_vad_context * ctx) { } } -void whisper_vad_free_segments(whisper_vad_segments * timestamps) { - if (timestamps) { - delete timestamps; +void whisper_vad_free_segments(whisper_vad_segments * segments) { + if (segments) { + delete segments; } } @@ -6624,34 +6626,34 @@ static bool whisper_vad( whisper_vad_segments * vad_segments = whisper_vad_segments_from_samples(vctx, vad_params, samples, n_samples); - if (vad_segments->segments.size() > 0) { + if (vad_segments->data.size() > 0) { state->has_vad_segments = true; ctx->state->vad_segments.clear(); - ctx->state->vad_segments.reserve(vad_segments->segments.size()); + ctx->state->vad_segments.reserve(vad_segments->data.size()); - WHISPER_LOG_INFO("%s: detected %d speech segments\n", __func__, (int)vad_segments->segments.size()); + WHISPER_LOG_INFO("%s: detected %d speech segments\n", __func__, (int)vad_segments->data.size()); float overlap_seconds = vad_params.samples_overlap; int overlap_samples = overlap_seconds * WHISPER_SAMPLE_RATE; - for (int i = 0; i < (int)vad_segments->segments.size(); i++) { - int segment_start_samples = vad_segments->segments[i].start * WHISPER_SAMPLE_RATE; - int segment_end_samples = vad_segments->segments[i].end * WHISPER_SAMPLE_RATE; + for (int i = 0; i < (int)vad_segments->data.size(); i++) { + int segment_start_samples = vad_segments->data[i].start * WHISPER_SAMPLE_RATE; + int segment_end_samples = vad_segments->data[i].end * WHISPER_SAMPLE_RATE; - if (i < (int)vad_segments->segments.size() - 1) { + if (i < (int)vad_segments->data.size() - 1) { segment_end_samples += overlap_samples; } segment_end_samples = std::min(segment_end_samples, n_samples - 1); filtered_n_samples += (segment_end_samples - segment_start_samples); WHISPER_LOG_INFO("%s: Including segment %d: %.2f - %.2f (duration: %.2f)\n", - __func__, i, vad_segments->segments[i].start, - vad_segments->segments[i].end + (i < (int)vad_segments->segments.size() - 1 ? overlap_seconds : 0), - (vad_segments->segments[i].end - vad_segments->segments[i].start) + - (i < (int)vad_segments->segments.size() - 1 ? overlap_seconds : 0)); + __func__, i, vad_segments->data[i].start, + vad_segments->data[i].end + (i < (int)vad_segments->data.size() - 1 ? overlap_seconds : 0), + (vad_segments->data[i].end - vad_segments->data[i].start) + + (i < (int)vad_segments->data.size() - 1 ? overlap_seconds : 0)); } int silence_samples = 0.1 * WHISPER_SAMPLE_RATE; - int total_silence_samples = (vad_segments->segments.size() > 1) ? (vad_segments->segments.size() - 1) * silence_samples : 0; + int total_silence_samples = (vad_segments->data.size() > 1) ? (vad_segments->data.size() - 1) * silence_samples : 0; int total_samples_needed = filtered_n_samples + total_silence_samples; WHISPER_LOG_INFO("%s: total duration of speech segments: %.2f seconds\n", @@ -6667,11 +6669,11 @@ static bool whisper_vad( } int offset = 0; - for (int i = 0; i < (int)vad_segments->segments.size(); i++) { - int segment_start_samples = vad_segments->segments[i].start * WHISPER_SAMPLE_RATE; - int segment_end_samples = vad_segments->segments[i].end * WHISPER_SAMPLE_RATE; + for (int i = 0; i < (int)vad_segments->data.size(); i++) { + int segment_start_samples = vad_segments->data[i].start * WHISPER_SAMPLE_RATE; + int segment_end_samples = vad_segments->data[i].end * WHISPER_SAMPLE_RATE; - if (i < (int)vad_segments->segments.size() - 1) { + if (i < (int)vad_segments->data.size() - 1) { segment_end_samples += overlap_samples; } @@ -6682,8 +6684,8 @@ static bool whisper_vad( if (segment_length > 0) { whisper_state::vad_segment_info segment; - segment.orig_start = vad_segments->segments[i].start; - segment.orig_end = vad_segments->segments[i].end; + segment.orig_start = vad_segments->data[i].start; + segment.orig_end = vad_segments->data[i].end; segment.vad_start = offset / (float)WHISPER_SAMPLE_RATE; segment.vad_end = (offset + segment_length) / (float)WHISPER_SAMPLE_RATE; @@ -6697,7 +6699,7 @@ static bool whisper_vad( offset += segment_length; // Add silence after this segment (except after the last segment) - if (i < (int)vad_segments->segments.size() - 1) { + if (i < (int)vad_segments->data.size() - 1) { // Fill with zeros (silence) memset(filtered_samples.data() + offset, 0, silence_samples * sizeof(float)); offset += silence_samples; From 41c20100a7ae0a3b50346629be38a2fef9477ad0 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Mon, 12 May 2025 15:54:54 +0200 Subject: [PATCH 48/49] squash! docs : add VAD section to README.md [no ci] Change underscores to dashes in VAD options. --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 5126c0a34ee..d073fbccc5d 100644 --- a/README.md +++ b/README.md @@ -784,10 +784,10 @@ periods will be ignored and included as part of the speech. longer than this will be automatically split into multiple segments at silence points exceeding 98ms to prevent excessively long segments. -* --vad_speech_pad_ms: Speech padding in milliseconds. Adds this amount of padding +* --vad-speech-pad-ms: Speech padding in milliseconds. Adds this amount of padding before and after each detected speech segment to avoid cutting off speech edges. -* --vad_samples_overlap: Amount of audio to extend from each speech segment into +* --vad-samples-overlap: Amount of audio to extend from each speech segment into the next one, in seconds (e.g., 0.10 = 100ms overlap). This ensures speech isn't cut off abruptly between segments when they're concatenated together. From 67f0fd404347f2a27d19f79b8a17f62d58ebd809 Mon Sep 17 00:00:00 2001 From: Daniel Bevenius Date: Mon, 12 May 2025 16:01:32 +0200 Subject: [PATCH 49/49] vad : fix cli option names [no ci] Use dashes instead of underscores for cli options. --- examples/cli/cli.cpp | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/cli/cli.cpp b/examples/cli/cli.cpp index 7cf1e3bf1bb..37b6ea63732 100644 --- a/examples/cli/cli.cpp +++ b/examples/cli/cli.cpp @@ -284,8 +284,8 @@ static void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params fprintf(stderr, " -vmsd N, --vad-max-speech-duration-s N [%-7s] VAD max speech duration (auto-split longer)\n", params.vad_max_speech_duration_s == FLT_MAX ? std::string("FLT_MAX").c_str() : std::to_string(params.vad_max_speech_duration_s).c_str()); - fprintf(stderr, " -vp N, --vad_speech_pad_ms N [%-7d] VAD speech padding (extend segments)\n", params.vad_speech_pad_ms); - fprintf(stderr, " -vo N, --vad_samples_overlap N [%-7.2f] VAD samples overlap (seconds between segments)\n", params.vad_samples_overlap); + fprintf(stderr, " -vp N, --vad-speech-pad-ms N [%-7d] VAD speech padding (extend segments)\n", params.vad_speech_pad_ms); + fprintf(stderr, " -vo N, --vad-samples-overlap N [%-7.2f] VAD samples overlap (seconds between segments)\n", params.vad_samples_overlap); fprintf(stderr, "\n"); }