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| title: README | |
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| # LEMAS: A 150K-Hour Large-scale Extensible Multilingual Audio Suite with Generative Speech Models | |
| [**LEMAS**](https://lemas-project.github.io/LEMAS-Project/) is a large-scale extensible multilingual audio suite, providing multilingual speech corpus (**LEMAS-Dataset**) with word-level timestamps, covering over **150,000 hours** across **10 major languages(zh/en/de/fr/es/pt/it/ru/id/vi)**. Built with a rigorous alignment and confidence-based filtering pipeline, LEMAS supports diverse generative paradigms including zero-shot multilingual synthesis (**LEMAS-TTS**)(0.3B) and seamless speech editing (**LEMAS-Edit**)(0.3B). | |
| More technical details can be found in our technical report: [https://arxiv.org/abs/2601.04233](https://arxiv.org/abs/2601.04233) | |
| <details><summary>Citation</summary> | |
| ``` | |
| @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} | |
| } | |
| ``` | |
| </details> |