This is unofficial simple HiFi-GAN implementation. You can either use pre-trained weights (however this implies some artifacts in the generated audio) or train your own GAN. You can find training logs, weights and some synthesized examples here
Installation:
git clone https://github.com/ivan7022/HiFi-GAN.git
cd HiFi-GAN
pip install -r requirements.txt
To download and apply pre-trained model you simply run
python inference.py
Change some path variables or device (by default model runs on CPU) if you need.
To reproduce results / train your own GAN you should download data (by default it is LJSpeech-1.1) and run training:
bash setup_data.sh
python train.py
Do not forget to change wandb logging variables in source/config.py
in this case.