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Removing the unused features

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Down to 20 features
This commit is contained in:
Jean-Marc Valin 2021-07-23 03:26:26 -04:00 • committed by Jean-Marc Valin
parent b90729b83b
commit 6585843237
10 changed files with 23 additions and 30 deletions
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5
dnn/training_tf2/train_lpcnet.py
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@ -104,7 +104,7 @@ with strategy.scope():
feature_file = args.features
pcm_file = args.data # 16 bit unsigned short PCM samples
frame_size = model.frame_size
nb_features = 55
nb_features = 36
nb_used_features = model.nb_used_features
feature_chunk_size = 15
pcm_chunk_size = frame_size*feature_chunk_size
@ -130,14 +130,13 @@ print("ulaw std = ", np.std(out_exc))
features = np.reshape(features, (nb_frames, feature_chunk_size, nb_features))
features = features[:, :, :nb_used_features]
features[:,:,18:36] = 0
fpad1 = np.concatenate([features[0:1, 0:2, :], features[:-1, -2:, :]], axis=0)
fpad2 = np.concatenate([features[1:, :2, :], features[0:1, -2:, :]], axis=0)
features = np.concatenate([fpad1, features, fpad2], axis=1)
periods = (.1 + 50*features[:,:,36:37]+100).astype('int16')
periods = (.1 + 50*features[:,:,18:19]+100).astype('int16')
#periods = np.minimum(periods, 255)
# dump models to disk as we go