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README.md

@@ -1,3 +1,115 @@
 ---
 license: apache-2.0
+language:
+  - zh
+  - en
+tags:
+  - tts
+  - role-play
+  - speech-synthesis
+  - expressive-speech
+  - grpo
+pipeline_tag: text-to-speech
 ---
+
+<h1 align="center">
+  MCLP-RPTTS: Expressive Role-Play TTS Model
+</h1>
+
+<p align="center">
+  Yong Ren<sup>*,1,2</sup>, Jingbei Li<sup>*,1</sup>, Haiyang Sun<sup>1</sup>, Yujie Chen<sup>3</sup>, Cheng Yi<sup>1</sup>, Yechang Huang<sup>1</sup>, Hao Gu<sup>2</sup>, Ye Bai<sup>2</sup>, Xuerui Yang<sup>1</sup>
+</p>
+
+<p align="center">
+  <sup>1</sup>StepFun &nbsp; <sup>2</sup>University of Chinese Academy of Sciences &nbsp; <sup>3</sup>Beihang University
+</p>
+
+<p align="center">
+  <sup>*</sup>Equal contribution
+</p>
+
+<p align="center">
+📑 <a href="https://arxiv.org/abs/2601.22661">Paper</a> &nbsp;|&nbsp;
+💻 <a href="https://github.com/y-ren16/MCLP">Code</a> &nbsp;|&nbsp;
+📊 <a href="https://huggingface.co/datasets/y-ren16/WenetSpeech-RP">Dataset</a> &nbsp;|&nbsp;
+🔢 <a href="https://huggingface.co/y-ren16/MCLP-Score">MCLP-Score Model</a>
+</p>
+
+## Model Description
+
+**MCLP-RPTTS** is a Role-Play Text-to-Speech model fine-tuned from Step-Audio-2-mini using SFT + GRPO with the MCLP (Mean Continuation Log-Probability) reward. It generates expressive speech that is stylistically consistent with role-play instructions including scene descriptions, character profiles, and dialogue history.
+
+This model is presented in:
+
+> **Evaluating and Rewarding LALMs for Expressive Role-Play TTS via Mean Continuation Log-Probability**
+> *Yong Ren\*, Jingbei Li\*, Haiyang Sun, Yujie Chen, Cheng Yi, Yechang Huang, Hao Gu, Ye Bai, Xuerui Yang*
+> ICML 2026
+
+## Key Results
+
+| Model | CER (%) ↓ | MCLP (W. History) ↑ | MCLP (W/O. History) ↑ | MOS ↑ |
+|-------|-----------|---------------------|----------------------|-------|
+| GPT-Audio | 11.974 | -4.849 | -4.836 | 1.752 |
+| MiMo-Audio-7B | 10.605 | -4.753 | -4.745 | 2.471 |
+| Step-Audio-2-mini | 3.276 | -4.829 | -4.823 | 1.707 |
+| **MCLP-RPTTS (Ours)** | **1.130** | **-4.636** | **-4.687** | **3.646** |
+
+## Usage
+
+```bash
+# Clone the inference code
+git clone https://github.com/y-ren16/MCLP.git
+cd MCLP
+
+# Run role-play TTS inference
+python generate_roleplay_stepaudio2_multigpu.py \
+    --model-path /path/to/MCLP-RPTTS \
+    --input-jsonl /path/to/WenetSpeech-RP/eval/eval_w_history.jsonl \
+    --output-dir ./outputs/roleplay_tts \
+    --audio-base /path/to/extracted_test_audio \
+    --prompt-base /path/to/WenetSpeech-RP/eval/audio \
+    --gpus 1
+```
+
+For detailed usage instructions, please refer to the [code repository](https://github.com/y-ren16/MCLP).
+
+## Requirements
+
+- Python >= 3.10
+- PyTorch >= 2.3 with CUDA
+- GPU: at least 1x A100/H100 (80GB) for inference
+
+```bash
+pip install transformers==4.49.0 torchaudio librosa onnxruntime s3tokenizer diffusers hyperpyyaml numpy
+```
+
+## Related Resources
+
+| Resource | Link |
+|----------|------|
+| 📑 Paper | [arXiv:2601.22661](https://arxiv.org/abs/2601.22661) |
+| 💻 Inference Code | [github.com/y-ren16/MCLP](https://github.com/y-ren16/MCLP) |
+| 📊 WenetSpeech-RP Dataset | [huggingface.co/datasets/y-ren16/WenetSpeech-RP](https://huggingface.co/datasets/y-ren16/WenetSpeech-RP) |
+| 🔢 MCLP-Score Model | [huggingface.co/y-ren16/MCLP-Score](https://huggingface.co/y-ren16/MCLP-Score) |
+
+## Citation
+
+```bibtex
+@inproceedings{ren2026mclp,
+  title={Evaluating and Rewarding LALMs for Expressive Role-Play TTS via Mean Continuation Log-Probability},
+  author={Ren, Yong and Li, Jingbei and Sun, Haiyang and Chen, Yujie and Yi, Cheng and Huang, Yechang and Gu, Hao and Bai, Ye and Yang, Xuerui},
+  booktitle={Proceedings of the 43rd International Conference on Machine Learning (ICML)},
+  year={2026}
+}
+```
+
+## License
+
+This model is released under the [Apache 2.0 License](LICENSE).
+
+## Acknowledgements
+
+This project builds upon:
+- [Step-Audio 2](https://github.com/stepfun-ai/Step-Audio2)
+- [CosyVoice](https://github.com/FunAudioLLM/CosyVoice)
+- [FlashCosyVoice](https://github.com/xingchensong/FlashCosyVoice)