Create README.md

README.md

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+---
+datasets:
+- LEMAS-Project/LEMAS-Dataset-train
+- LEMAS-Project/LEMAS-Dataset-eval
+language:
+- it
+- pt
+- es
+- fr
+- de
+- en
+- zh
+license: cc-by-nc-4.0
+pipeline_tag: text-to-speech
+tags:
+- zero-shot
+- multilingual
+---
+
+# LEMAS-Edit
+
+LEMAS-Edit is a multilingual zero-shot speech editing system, presented in the paper [LEMAS: A 150K-Hour Large-scale Extensible Multilingual Audio Suite with Generative Speech Models](https://huggingface.co/papers/2601.04233).
+
+- **Project Page:** [https://lemas-project.github.io/LEMAS-Project](https://lemas-project.github.io/LEMAS-Project)
+- **Paper:** [https://arxiv.org/abs/2601.04233](https://arxiv.org/abs/2601.04233)
+- **GitHub Repository:** [https://github.com/LEMAS-Project/LEMAS-Edit](https://github.com/LEMAS-Project/LEMAS-Edit)
+- **Hugging Face Demo:** [https://huggingface.co/spaces/LEMAS-Project/LEMAS-Edit](https://huggingface.co/spaces/LEMAS-Project/LEMAS-Edit)
+
+## Supported Languages
+
+The model supports 7 major languages for zero-shot synthesis:
+- Chinese (zh)
+- English (en)
+- Spanish (es)
+- French (fr)
+- German (de)
+- Italian (it)
+- Portuguese (pt)
+
+## Training Data
+
+LEMAS-Edit was trained on the subset of [LEMAS-Dataset](https://huggingface.co/datasets/LEMAS-Project/LEMAS-Dataset-train), which is, to our knowledge, currently the largest open-source multilingual speech corpus with word-level timestamps. It covers over 150,000 hours across 10 major languages.
+
+## Citation
+
+```bibtex
+@article{zhao2026lemas,
+  title={LEMAS: A 150K-Hour Large-scale Extensible Multilingual Audio Suite with Generative Speech Models},
+  author={Zhao, Zhiyuan and Lin, Lijian and Zhu, Ye and Xie, Kai and Liu, Yunfei and Li, Yu},
+  journal={arXiv preprint arXiv:2601.04233},
+  year={2026}
+}
+```