---
license: other
tags:
- text-to-speech
- LLMs
- zero-shot text-to-speech
inference: false
datasets: 
- LJSpeech
extra_gated_prompt: |-
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  This model is open access and available to all, with a license further specifying rights and usage.

  Any organization or individual is prohibited from using any technology mentioned in this paper to generate someone's speech without his/her consent, including but not limited to government leaders, political figures, and celebrities. If you do not comply with this item, you could be in violation of copyright laws.

  
  By clicking on "Access repository" below, you accept that your *contact information* (email address and username) can be shared with the model authors as well.
    
extra_gated_fields:
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---

# MVoice Model Card


## Model Details
- **Model type:** Voice LLM for Zero-shot text-to-speech 
- **Language(s):** English, Mandarin
- **Resources for more information:** [MVoice GitHub Repository](https://github.com/Rongjiehuang/MVoice), [MVoice Paper]().
- **Cite as:**

```bib
@article{huang2023make,
  title={Make-A-Voice: Unified Voice Synthesis With Discrete Representation},
  author={Huang, Rongjie and Zhang, Chunlei and Wang, Yongqi and Yang, Dongchao and Liu, Luping and Ye, Zhenhui and Jiang, Ziyue and Weng, Chao and Zhao, Zhou and Yu, Dong},
  journal={arXiv preprint arXiv:2305.19269},
  year={2023}
}
```
- 


*This model card was written based on the [DALL-E Mini model card](https://huggingface.co/dalle-mini/dalle-mini).*