Why is the 1st frame of mel spectrum set to 0?
Opened this issue · 1 comments
youngsuenXMLY commented
Hello, in train.py, line 52
self.S = tf.concat((tf.zeros_like(self.mels[:, :1, :]), self.mels[:, :-1, :]), 1)
the 1st frame values of mel spectrum are set to 0, could you please explain why to do this?
hccho2 commented
For causal cut, the last frame was cut off.
To keep the length, the 1st frame was padded.