cmvnw sliding window

Author: astorfi

tests/test_package.py

@@ -8,19 +8,22 @@
 signal = signal[:,0]
 
 ############# Extract MFCC features #############
-mfcc = speechpy.mfcc(signal, sampling_frequency=fs, frame_length=0.020, frame_stride=0.02,
+mfcc = speechpy.mfcc(signal, sampling_frequency=fs, frame_length=0.020, frame_stride=0.01,
              num_filters=40, fft_length=512, low_frequency=0, high_frequency=None)
+mfcc_cmvn = speechpy.cmvnw(mfcc,win_size=301,variance_normalization=True)
+print('mfcc(mean + variance normalized) feature shape=', mfcc_cmvn.shape)
+
 mfcc_feature_cube = speechpy.extract_derivative_feature(mfcc)
 print('mfcc feature cube shape=', mfcc_feature_cube.shape)
 
 ############# Extract logenergy features #############
-logenergy = speechpy.lmfe(signal, sampling_frequency=fs, frame_length=0.020, frame_stride=0.02,
+logenergy = speechpy.lmfe(signal, sampling_frequency=fs, frame_length=0.020, frame_stride=0.01,
              num_filters=40, fft_length=512, low_frequency=0, high_frequency=None)
 logenergy_feature_cube = speechpy.extract_derivative_feature(logenergy)
 print('logenergy features=', logenergy.shape)
 
 # Example of staching frames
-signal = speechpy.stack_frames(signal, sampling_frequency=fs, frame_length=0.020, frame_stride=0.020, Filter=lambda x: np.ones((x,)),
+signal = speechpy.stack_frames(signal, sampling_frequency=fs, frame_length=0.020, frame_stride=0.01, Filter=lambda x: np.ones((x,)),
          zero_padding=True)