ParallelWaveGAN
Unofficial Parallel WaveGAN (+ variants) with Pytorch for speech synthesis
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Jupyter Notebook MITCreated Oct 29, 2019
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Overview
Repository containing implementations of various neural vocoders such as MelGAN, Multi-band MelGAN, HiFi-GAN, and StyleMelGAN using PyTorch.
Capability facts
- Languages
- jupyter notebook
Source: github.language · Jul 11, 2026
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Requirements
This repository is tested on Ubuntu 20.04 with a GPU Titan V.
- Python 3.8+
- Cuda 11.0+
- CuDNN 8+
- NCCL 2+ (for distributed multi-gpu training)
- libsndfile (you can install via
sudo apt install libsndfile-devin ubuntu) - jq (you can install via
sudo apt install jqin ubuntu) - sox (you can install via
sudo apt install soxin ubuntu)
Different cuda version should be working but not explicitly tested.
All of the codes are tested on Pytorch 1.8.1, 1.9, 1.10.2, 1.11.0, 1.12.1, 1.13.1, 2.0.1 and 2.1.0.
If you want to use distributed training, please install
command to install apex.
$ make apex
Note that we specify cuda version used to compile pytorch wheel.
If you want to use different cuda version, please check `tools/Makefile` to change the pytorch wheel to be installed.
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# If not, please install via pip
$ pip install parallel_wavegan
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# Please install this repository in ESPnet conda (or virtualenv) environment
$ . ./path.sh && pip install -U parallel_wavegan