andong-li-speech / gagnet Goto Github PK

Hi,

I find the GaGNet use InstanceNorm in these places:

For the InstanceNorm2d, the input shape is [batch, channel, num_frames, freq_feature_size], the mean and variance are calculated per [num_frames, freq_feature_size], which contain the all frames. So, the InstanceNorm2d seems to be non-causal.

Sorry to bother you and thank for your opening of the model.
I try to train the model and meet a little problem.
After training the model, I would get length of three list from model (GGMs, default=3)

If I want to execute istft to sythesize the result, which index's inferenced tensor should i choose?
Thanks!