GitHub - mffigueroa/NeuralSpeechRecognition: Noisy-channel approach to speech recognition using a neural language and neural acoustic model

mffigueroa / NeuralSpeechRecognition Public

Noisy-channel approach to speech recognition using a neural language and neural acoustic model

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
resnet		resnet
FilterLibrispeechDataset.py		FilterLibrispeechDataset.py
GutenbergDatasetToSequenceFile.py		GutenbergDatasetToSequenceFile.py
LibrispeechDatasetStats.py		LibrispeechDatasetStats.py
LibrispeechDatasetToSequenceData.py		LibrispeechDatasetToSequenceData.py
audio_to_mfcc.py		audio_to_mfcc.py
build_gutenberg_dataset_split.py		build_gutenberg_dataset_split.py
build_librispeech_dataset_split.py		build_librispeech_dataset_split.py
combine_datasets.py		combine_datasets.py
conv_lstm_am.py		conv_lstm_am.py
find_word_in_corpus.py		find_word_in_corpus.py
lstm_lm.py		lstm_lm.py
parse_log_files.py		parse_log_files.py
phoneme_trie.py		phoneme_trie.py
resnet_am.py		resnet_am.py
resnet_lstm_am.py		resnet_lstm_am.py
speech_dataset.py		speech_dataset.py
test_simple_lstm_lm.py		test_simple_lstm_lm.py
test_specaugment.py		test_specaugment.py
text_dataset.py		text_dataset.py
text_tokenizer.py		text_tokenizer.py
torch_transforms.py		torch_transforms.py
train_simple_conv_lstm_am.py		train_simple_conv_lstm_am.py
train_simple_lstm_lm.py		train_simple_lstm_lm.py
vocabulary.py		vocabulary.py