ref: 5ff58fa1171143b9b15fc694e2c2fad9c184fef5
parent: 92281bbe319f36dcb4fe3b55063ab357d15bc71f
author: Jean-Marc Valin <jmvalin@jmvalin.ca>
date: Wed Oct 24 10:09:05 EDT 2018
remove import that no longer exists
--- a/dnn/test_lpcnet.py
+++ b/dnn/test_lpcnet.py
@@ -1,6 +1,5 @@
#!/usr/bin/python3
-import wavenet
import lpcnet
import sys
import numpy as np
--- a/dnn/train_lpcnet.py
+++ b/dnn/train_lpcnet.py
@@ -4,7 +4,6 @@
#
# Train a LPCNet model (note not a Wavenet model)
-import wavenet
import lpcnet
import sys
import numpy as np
@@ -30,8 +29,6 @@
batch_size = 64
# Note we are creating a LPCNet model
-
-#model = wavenet.new_wavenet_model(fftnet=True)
model, _, _ = lpcnet.new_wavernn_model()
model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['sparse_categorical_accuracy'])
--
⑨