WaveGAN

WaveGAN is a raw audio generation network.

You only need to modify a simple config.py file to train and sample the network and do more.

This implementation uses:

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

Quasi-Periodic Parallel WaveGAN Pytorch implementation

ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliar...

Unofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing an...

Source code for "Training Generative Adversarial Networks Via Turing Test".

generative adversarial networks

SEGAN pytorch implementation https://arxiv.org/abs/1703.09452

wavegan.pytorch