shithub: opus

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more cleanup

--- a/dnn/test_wavenet_audio.py

+++ b/dnn/test_wavenet_audio.py

@@ -45,13 +45,6 @@

 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')

--- a/dnn/train_wavenet_audio.py

+++ b/dnn/train_wavenet_audio.py

@@ -68,14 +68,6 @@

 #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)

-- 

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