This repository contains the open source code, audio samples and pretrained models of my paper: QuickVC: Any-to-many Voice Conversion Using Inverse Short-time Fourier Transform for Faster Conversion

Put pretrained model into logs/quickvc

python convert.py

You can change convert.txt to select the target and source

1. Hubert-Soft

cd dataset
python encode.py soft dataset/VCTK-16K dataset/VCTK-16K

2. Spectrogram resize data augumentation, please refer to FreeVC.

python train.py

If you want to change the config and model name, change:

parser.add_argument('-c', '--config', type=str, default="./configs/quickvc.json",help='JSON file for configuration')
parser.add_argument('-m', '--model', type=str,default="quickvc",help='Model name')

in utils.py

If you have any question about the decoder, refer to MS-ISTFT-VITS.

If you have any question about the Hubert-soft, refer to Soft-VC.

If you have any question about the data augumentation, refer to FreeVC.