FB-MelGAN

A pytorch implementation of the FB-MelGAN(https://arxiv.org/pdf/2005.05106.pdf)

Prepare dataset

Download dataset for training. This can be any wav files.
Edit configuration in utils/audio.py
Process data: python process.py --wav_dir="wavs" --output="data"

Pre_train & Train & Tensorboard

python pre_train.py --input="data/train"
python train.py --input="data/train"
tensorboard --logdir logdir

Inference

python generate.py --input="data/test"

Reference

Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech(https://arxiv.org/pdf/2005.05106.pdf)
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis(https://arxiv.org/pdf/1910.06711.pdf)
kan-bayashi/ParallelWaveGAN(https://github.com/kan-bayashi/ParallelWaveGAN)
Parallel WaveGAN(https://arxiv.org/pdf/1910.11480.pdf)