ref: 1ae958acf3927d47ac77f94e59bedef65783308b
parent: d1a14ac5d4343bce71640d1e05595df9ffafa103
author: Jean-Marc Valin <jmvalin@amazon.com>
date: Tue Feb 15 20:01:51 EST 2022
Make LPCNet frame rate network use swish
--- a/dnn/training_tf2/lpcnet.py
+++ b/dnn/training_tf2/lpcnet.py
@@ -240,14 +240,14 @@
dec_state2 = Input(shape=(rnn_units2,))
padding = 'valid' if training else 'same'
- fconv1 = Conv1D(cond_size, 3, padding=padding, activation='tanh', name='feature_conv1')
- fconv2 = Conv1D(cond_size, 3, padding=padding, activation='tanh', name='feature_conv2')
+ fconv1 = Conv1D(cond_size, 3, padding=padding, activation='swish', name='feature_conv1')
+ fconv2 = Conv1D(cond_size, 3, padding=padding, activation='swish', name='feature_conv2')
pembed = Embedding(256, 64, name='embed_pitch')
cat_feat = Concatenate()([feat, Reshape((-1, 64))(pembed(pitch))])
cfeat = fconv2(fconv1(cat_feat))
- fdense1 = Dense(cond_size, activation='tanh', name='feature_dense1')
+ fdense1 = Dense(cond_size, activation='swish', name='feature_dense1')
fdense2 = Dense(cond_size, activation='tanh', name='feature_dense2')
if flag_e2e and quantize:
--
⑨