My implementation of Vocos(paper) for JSUT(link) powerd by lightning.
pip install torch torchaudio lightning pandas matplotlibor
docker image build -t vocos -f docker/Dockerfile .
docker container run --rm -it --gpus all -v $(pwd):/work vocosRunning run.sh will automatically download the data and begin training.
So just execute the following commands to begin training.
cd scripts
./run.shsynthesize.sh uses last.ckpt by default, so if you want to use a specific weight, change it.
cd scripts
./synthesis.shTrained model is in following link.
https://huggingface.co/reppy4620/vocos/blob/main/jsut_1000.ckpt
It contains model weights as well as some training info.
Some audio samples are in asset/sample.
| loss | plot |
|---|---|
| Discriminator |  |
| Generator |  |
| Feature Matching |  |
| Mel |  |