## 👉🏻 IndexTTS2 👈🏻
IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech
### Contact
QQ Group:553460296(No.1) 1048202584(No.2) 764630270(No.3)\
Discord:https://discord.gg/uT32E7KDmy \
Emal:indexspeech@bilibili.com \
欢迎大家来交流讨论!
## 📣 Updates
- `2025/09/08` 🔥🔥🔥 We release the **IndexTTS-2**
- The first autoregressive TTS model with precise synthesis duration control: supporting both controllable and uncontrollable modes
- The model achieves highly expressive emotional speech synthesis, with emotion-controllable capabilities enabled through multiple input modalities.
- `2025/05/14` 🔥🔥 We release the **IndexTTS-1.5**, Significantly improve the model's stability and its performance in the English language.
- `2025/03/25` 🔥 We release **IndexTTS-1.0** model parameters and inference code.
- `2025/02/12` 🔥 We submitted our paper on arXiv, and released our demos and test sets.
## Acknowledge
1. [tortoise-tts](https://github.com/neonbjb/tortoise-tts)
2. [XTTSv2](https://github.com/coqui-ai/TTS)
3. [BigVGAN](https://github.com/NVIDIA/BigVGAN)
4. [wenet](https://github.com/wenet-e2e/wenet/tree/main)
5. [icefall](https://github.com/k2-fsa/icefall)
6. [maskgct](https://github.com/open-mmlab/Amphion/tree/main/models/tts/maskgct)
7. [seed-vc](https://github.com/Plachtaa/seed-vc)
## 📚 Citation
🌟 If you find our work helpful, please leave us a star and cite our paper.
IndexTTS2
```
@article{zhou2025indextts2,
title={IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech},
author={Siyi Zhou, Yiquan Zhou, Yi He, Xun Zhou, Jinchao Wang, Wei Deng, Jingchen Shu},
journal={arXiv preprint arXiv:2506.21619},
year={2025}
}
```
IndexTTS
```
@article{deng2025indextts,
title={IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System},
author={Wei Deng, Siyi Zhou, Jingchen Shu, Jinchao Wang, Lu Wang},
journal={arXiv preprint arXiv:2502.05512},
year={2025},
doi={10.48550/arXiv.2502.05512},
url={https://arxiv.org/abs/2502.05512}
}
```