TFGAN

This repo is Unofficial implements of TFGAN: Time and Frequency Domain Based Generative Adversarial Network for High-fidelity Speech Synthesis using Pytorch.

Requirement

Tested on Python 3.6

pip install -r requirements.txt

Prepare Dataset

• Download dataset for training. This can be any wav files with sample rate 22050Hz. (e.g. LJSpeech was used in paper)
• preprocess: python preprocess.py -c config/default.yaml -d [data's root path]
• Edit configuration yaml file

Train & Tensorboard

• python trainer.py -c [config yaml file] -n [name of the run]

  • cp config/default.yaml config/config.yaml and then edit config.yaml
  • Write down the root path of train/validation files to 2nd/3rd line.

• tensorboard --logdir logs/

Inference

• python inference.py -p [checkpoint path] -i [input mel path]

Checkpoint :

• LJSpeech checkpoint here .