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pitch embedding

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This commit is contained in:
Jean-Marc Valin 2018-10-02 21:17:34 -04:00
parent 2d74d3189c
commit 639766b322
3 changed files with 11 additions and 6 deletions
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10
dnn/lpcnet.py
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@ -46,6 +46,7 @@ def new_wavernn_model():
exc = Input(shape=(None, 1))
pitch = Input(shape=(None, 1))
feat = Input(shape=(None, nb_used_features))
pitch = Input(shape=(None, 1))
dec_feat = Input(shape=(None, 32))
dec_state = Input(shape=(rnn_units,))
@ -67,7 +68,10 @@ def new_wavernn_model():
embed2 = Embedding(256, embed_size, embeddings_initializer=PCMInit())
cexc = Reshape((-1, embed_size))(embed2(exc))
cfeat = fconv2(fconv1(feat))
pembed = Embedding(256, 64)
cat_feat = Concatenate()([feat, Reshape((-1, 64))(pembed(pitch))])
cfeat = fconv2(fconv1(cat_feat))
rep = Lambda(lambda x: K.repeat_elements(x, 160, 1))
@ -77,8 +81,8 @@ def new_wavernn_model():
gru_out, state = rnn(rnn_in)
ulaw_prob = md(gru_out)
model = Model([pcm, exc, feat], ulaw_prob)
encoder = Model(feat, cfeat)
model = Model([pcm, exc, feat, pitch], ulaw_prob)
encoder = Model([feat, pitch], cfeat)
dec_rnn_in = Concatenate()([cpcm, cexc, dec_feat])
dec_gru_out, state = rnn(dec_rnn_in, initial_state=dec_state)