def init(self):
self.model = Sequential()
self.model.add(Bidirectional(LSTM(126, return_sequences=True), 'sum',
input_shape=(self._max_frames, self._features_count)))
self.model.add(Dropout(0.5))
self.model.add(TimeDistributed(Dense(units=self._phonemes_count, activation='softmax')))
self.model.compile(loss='categorical_crossentropy',
optimizer='rmsprop',
metrics=[metrics.categorical_accuracy])
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