https://github.com/quickvc/QuickVC-VoiceConversion

QuickVC: Any-to-many Voice Conversion Using Inverse Short-time Fourier Transform for Faster Conversion
https://github.com/quickvc/QuickVC-VoiceConversion

Last synced: 2 months ago
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QuickVC: Any-to-many Voice Conversion Using Inverse Short-time Fourier Transform for Faster Conversion

• Host: GitHub
• URL: https://github.com/quickvc/QuickVC-VoiceConversion
• Owner: quickvc
• License: mit
• Created: 2023-02-14T07:20:29.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-07-13T07:43:54.000Z (over 1 year ago)
• Last Synced: 2024-08-03T23:03:18.160Z (6 months ago)
• Language: Python
• Homepage:
• Size: 9.22 MB
• Stars: 213
• Watchers: 22
• Forks: 24
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# QuickVC

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

## [Demo Page](https://quickvc.github.io/quickvc-demo)



## [Pretrained Model](https://drive.google.com/drive/folders/1DF6RgIHHkn2aoyyUMt4_hPitKSc2YR9d?usp=share_link)

Put pretrained model into logs/quickvc

## Inference with pretrained model

```python

python convert.py

```

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

## Preprocess

1. Hubert-Soft

```python

cd dataset

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

```

2. Spectrogram resize data augumentation, please refer to [FreeVC](https://github.com/OlaWod/FreeVC).

## Train

```python

python train.py

```

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

```python

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

In order to use the sr during training, change [this part](https://github.com/quickvc/QuickVC-VoiceConversion/blob/277118de9c81d1689e16be8a43408eda4223553d/data_utils_new_new.py#L70) to

```python

i = random.randint(68,92)

c_filename = filename.replace(".wav", f"_{i}.npy")

```    

## References

If you have any question about the decoder, refer to [MS-ISTFT-VITS](https://github.com/MasayaKawamura/MB-iSTFT-VITS).

If you have any question about the Hubert-soft, refer to [Soft-VC](https://github.com/bshall/hubert).

If you have any question about the data augumentation, refer to [FreeVC](https://github.com/OlaWod/FreeVC).

## If you meet any problem, welcome to contact with me.