Update README.md

README.md

@@ -8,6 +8,9 @@ language:
 - es
 - fr
 - de
+- vi
+- id
+- ru
 - en
 - zh
 license: cc-by-nc-4.0
@@ -19,27 +22,31 @@ tags:
 
 # 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).
+LEMAS-Edit is a multilingual 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)
+- **GitHub Repository:** [https://github.com/LEMAS-Project/LEMAS-TTS](https://github.com/LEMAS-Project/LEMAS-Edit)
+- **Hugging Face Demo:** [https://huggingface.co/spaces/LEMAS-Project/LEMAS-TTS](https://huggingface.co/spaces/LEMAS-Project/LEMAS-Edit)
+
 
 ## Supported Languages
 
-The model supports 7 major languages for zero-shot synthesis:
+The model supports 10 major languages for zero-shot synthesis:
 - Chinese (zh)
 - English (en)
 - Spanish (es)
+- Russian (ru)
 - French (fr)
 - German (de)
 - Italian (it)
 - Portuguese (pt)
+- Indonesian (id)
+- Vietnamese (vi)
 
 ## 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.
+LEMAS-TTS was trained on the [LEMAS-Dataset](https://huggingface.co/datasets/LEMAS-Project/LEMAS-Dataset-train). It covers over 150,000 hours across 10 major languages.
 
 ## Citation