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more cleanup

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This commit is contained in:
Jean-Marc Valin 2018-10-09 03:10:25 -04:00
parent aba9af8bde
commit a9835c4e5f
2 changed files with 0 additions and 15 deletions
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7
dnn/test_wavenet_audio.py
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@ -45,13 +45,6 @@ features = features[:nb_frames*feature_chunk_size*nb_features]
in_data = np.concatenate([data[0:1], data[:-1]]);
features = np.reshape(features, (nb_frames*feature_chunk_size, nb_features))
pitch = 1.*data
pitch[:320] = 0
for i in range(2, nb_frames*feature_chunk_size):
period = int(50*features[i,36]+100)
period = period - 4
pitch[i*frame_size:(i+1)*frame_size] = data[i*frame_size-period:(i+1)*frame_size-period]
in_pitch = np.reshape(pitch/16., (nb_frames, pcm_chunk_size, 1))
in_data = np.reshape(in_data, (nb_frames, pcm_chunk_size, 1))
in_data = in_data.astype('uint8')

8
dnn/train_wavenet_audio.py
View file

@ -68,14 +68,6 @@ pred = lin2ulaw(upred)
#pred = pred + np.random.randint(-1, 1, len(data))
pitch = 1.*data
pitch[:320] = 0
for i in range(2, nb_frames*feature_chunk_size):
period = int(50*features[i,36]+100)
period = period - 4
pitch[i*frame_size:(i+1)*frame_size] = data[i*frame_size-period:(i+1)*frame_size-period]
in_pitch = np.reshape(pitch/16., (nb_frames, pcm_chunk_size, 1))
in_data = np.reshape(in_data, (nb_frames, pcm_chunk_size, 1))
in_data = in_data.astype('uint8')
out_data = lin2ulaw(udata-upred)