WhisperVC / README.md
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---
license: cc-by-nc-sa-4.0
language:
- zh
- en
pipeline_tag: audio-to-audio
tags:
- speech
- voice-conversion
- whisper-to-normal
- whispervc
base_model:
- openai/whisper-large-v3
---
# WhisperVC
Official Chinese and English inference checkpoints for **WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion**.
Paper: https://arxiv.org/abs/2511.01056
## Model files
- `whispervc_cn_v1.safetensors`: Chinese inference bundle.
- `whispervc_en_v1.safetensors`: English inference bundle.
Each file contains the Stage2 model, HiFi-GAN generator, Gate, and Whisper Flamingo encoder/adapter weights. The WeSpeaker checkpoint is not included and must be obtained separately from its official release.
## Intended use
The checkpoints are provided for non-commercial research and educational use, including whisper-to-normal speech conversion and voice-conversion research. Commercial use is not permitted by the model license.
## Training data
- AISHELL6-Whisper
- wTIMIT
- LibriTTS
No training, evaluation, or baseline data is included in this repository.
## Access and download
This repository uses automatic gated access. Request access on this page, authenticate locally, and download the required bundle:
```bash
hf auth login
hf download RaydonLiu/WhisperVC whispervc_cn_v1.safetensors
hf download RaydonLiu/WhisperVC whispervc_en_v1.safetensors
```
## License
The model weights are licensed under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/). The accompanying WhisperVC inference source code is licensed separately under Apache-2.0. Third-party models and dependencies retain their upstream licenses.
## Citation
```bibtex
@article{liu2025whispervc,
title={WhisperVC: Decoupled Cross-Domain Alignment and Speech Generation for Low-Resource Whisper-to-Normal Conversion},
author={Liu, Dong and Liu, Juan and Ju, Wei and Tian, Yao and Li, Ming},
journal={arXiv preprint arXiv:2511.01056},
year={2025}
}
```