Quick comment is that, as I understand it, the WavGAN paper actually does not recommend nearest neighbor upsampling, and instead better results were obtained by the standard ConvTranspose approach. However, in model.py, the class "Transpose1dLayer" has a comment saying that upsampling IS recommended and the class "WaveGANGenerator" has upsampling enabled by default.
Thanks very much for making this repo!
Quick comment is that, as I understand it, the WavGAN paper actually does not recommend nearest neighbor upsampling, and instead better results were obtained by the standard ConvTranspose approach. However, in model.py, the class "Transpose1dLayer" has a comment saying that upsampling IS recommended and the class "WaveGANGenerator" has upsampling enabled by default.