Hi there
I’ve been trying to generate spectrograms using a CycleGAN and I’ve been having issues, one thing I’ve seen mentioned is discretising the spectrograms between 0-255. I’m just wondering should this make any material difference to how well the model learns compared to using the default float values librosa returns?
Thanks