A PyTorch implementation of VQVAE and WaveNet, forked from https://github.com/dhgrs/chainer-VQ-VAE.
The status of this repository is work in progress.
- Python>=3.8
- PyTorch>=1.6.0
- torchaudio>=0.6.0
- homura>=2020.08
e.g.,
conda create -n ${PROJECT_NAME} python=3.8
conda activate ${PROJECT_NAME}
conda install -c pytorch pytorch torchaudio cudatoolkit==10.2
pip install git+https://github.com/moskomule/homura@v2020.08
python train.py
python generate.py -i input_file -o output_file -m saved_model -s speaker