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Split off decoder code

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Jean-Marc Valin 2019-03-17 13:24:58 -04:00
parent 8dcccc8934
commit e63292bd56
6 changed files with 168 additions and 122 deletions
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6
dnn/train_lpcnet.py
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@ -103,8 +103,8 @@ del pred
del in_exc
# dump models to disk as we go
checkpoint = ModelCheckpoint('lpcnet24fq_384_10_G16_{epoch:02d}.h5')
checkpoint = ModelCheckpoint('lpcnet24g_384_10_G16_{epoch:02d}.h5')
model.load_weights('lpcnet24f_384_10_G16_31.h5')
model.compile(optimizer=Adam(0.0005, amsgrad=True, decay=5e-5), loss='sparse_categorical_crossentropy')
model.load_weights('lpcnet24c_384_10_G16_120.h5')
model.compile(optimizer=Adam(0.0001, amsgrad=True), loss='sparse_categorical_crossentropy')
model.fit([in_data, features, periods], out_exc, batch_size=batch_size, epochs=nb_epochs, validation_split=0.0, callbacks=[checkpoint, lpcnet.Sparsify(0, 0, 1, (0.05, 0.05, 0.2))])