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---
title: README
emoji: 📈
colorFrom: indigo
colorTo: red
sdk: static
pinned: false
---
# 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> |