The model implementation details are slightly differed from theofficial implementation based on
personal favor, and the project structure is brought frompytorch-template.
Quick Start
Modify the data_dir in the json file to a directory which has a bunch of wave files with the same sampling rate,
then your are good to go. The mel-spectrogram will be computed on the fly.
I trained the model on some cello music pieces from MusicNet using the musicnet_config.json.
The clips in the samples folder is what I got. Although the audio quality is not very good, it's possible to use
WaveGlow on music generation as well.
The generation speed is around 470kHz on a 1080ti.