release paper

README.md

@@ -291,4 +291,34 @@ Here are some demos generated by Spark-TTS using zero-shot voice cloning. For mo
 
 - [x] Release the Spark-TTS paper.
 - [ ] Release the training code.
-- [ ] Release the training dataset, VoxBox.
+- [ ] Release the training dataset, VoxBox.
+
+
+## Citation
+
+```
+@misc{wang2025sparktts,
+      title={Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens}, 
+      author={Xinsheng Wang and Mingqi Jiang and Ziyang Ma and Ziyu Zhang and Songxiang Liu and Linqin Li and Zheng Liang and Qixi Zheng and Rui Wang and Xiaoqin Feng and Weizhen Bian and Zhen Ye and Sitong Cheng and Ruibin Yuan and Zhixian Zhao and Xinfa Zhu and Jiahao Pan and Liumeng Xue and Pengcheng Zhu and Yunlin Chen and Zhifei Li and Xie Chen and Lei Xie and Yike Guo and Wei Xue},
+      year={2025},
+      eprint={2503.01710},
+      archivePrefix={arXiv},
+      primaryClass={cs.SD},
+      url={https://arxiv.org/abs/2503.01710}, 
+}
+```
+
+
+## ⚠️ Usage Disclaimer
+
+This project provides a zero-shot voice cloning TTS model intended for academic research, educational purposes, and legitimate applications, such as personalized speech synthesis, assistive technologies, and linguistic research.
+
+Please note:
+
+- Do not use this model for unauthorized voice cloning, impersonation, fraud, scams, deepfakes, or any illegal activities.
+
+- Ensure compliance with local laws and regulations when using this model and uphold ethical standards.
+
+- The developers assume no liability for any misuse of this model.
+
+We advocate for the responsible development and use of AI and encourage the community to uphold safety and ethical principles in AI research and applications. If you have any concerns regarding ethics or misuse, please contact us.