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30 lines
802 B
Python
30 lines
802 B
Python
#!/usr/bin/python3
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import math
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from keras.models import Model
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from keras.layers import Input, LSTM, CuDNNGRU, Dense, Embedding, Reshape, Concatenate, Lambda, Conv1D, Multiply, Bidirectional, MaxPooling1D, Activation
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from keras import backend as K
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from mdense import MDense
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import numpy as np
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import h5py
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import sys
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rnn_units=64
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pcm_bits = 8
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pcm_levels = 2**pcm_bits
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nb_used_features = 37
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def new_wavernn_model():
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pcm = Input(shape=(None, 2))
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feat = Input(shape=(None, nb_used_features))
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rep = Lambda(lambda x: K.repeat_elements(x, 160, 1))
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rnn = CuDNNGRU(rnn_units, return_sequences=True)
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rnn_in = Concatenate()([pcm, rep(feat)])
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md = MDense(pcm_levels, activation='softmax')
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ulaw_prob = md(rnn(rnn_in))
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model = Model([pcm, feat], ulaw_prob)
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return model
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