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Use real features at the chunk edges rather than zeros

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Jean-Marc Valin 2019-01-22 16:55:02 -05:00
parent 9fd3e45fd3
commit b2940ed212
3 changed files with 13 additions and 7 deletions
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7
dnn/lpcnet.py
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@ -113,7 +113,7 @@ class PCMInit(Initializer):
'seed': self.seed
}
def new_lpcnet_model(rnn_units1=384, rnn_units2=16, nb_used_features = 38, use_gpu=True):
def new_lpcnet_model(rnn_units1=384, rnn_units2=16, nb_used_features = 38, training=False, use_gpu=True):
pcm = Input(shape=(None, 3))
feat = Input(shape=(None, nb_used_features))
pitch = Input(shape=(None, 1))
@ -121,8 +121,9 @@ def new_lpcnet_model(rnn_units1=384, rnn_units2=16, nb_used_features = 38, use_g
dec_state1 = Input(shape=(rnn_units1,))
dec_state2 = Input(shape=(rnn_units2,))
fconv1 = Conv1D(128, 3, padding='same', activation='tanh', name='feature_conv1')
fconv2 = Conv1D(128, 3, padding='same', activation='tanh', name='feature_conv2')
padding = 'valid' if training else 'same'
fconv1 = Conv1D(128, 3, padding=padding, activation='tanh', name='feature_conv1')
fconv2 = Conv1D(128, 3, padding=padding, activation='tanh', name='feature_conv2')
embed = Embedding(256, embed_size, embeddings_initializer=PCMInit(), name='embed_sig')
cpcm = Reshape((-1, embed_size*3))(embed(pcm))