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@@ -21,6 +21,9 @@ pipeline_tag: text-to-speech
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  [![arXiv](https://img.shields.io/badge/arXiv-Paper-<COLOR>.svg)](https://arxiv.org/abs/2502.04128)
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  **Main Idea:**
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  This model enhances previous Llasa TTS by incorporating multilingual data. The approach leverages the LLAMA-initialized text BPE tokenizer,
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  which can handle multilingual text without the need to design language-specific G2P (grapheme-to-phoneme) systems.
 
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  [![arXiv](https://img.shields.io/badge/arXiv-Paper-<COLOR>.svg)](https://arxiv.org/abs/2502.04128)
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+ **Update (2025-02-13):** Add [Llasa finetune instruction](https://github.com/zhenye234/LLaSA_training/tree/main/finetune).
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  **Main Idea:**
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  This model enhances previous Llasa TTS by incorporating multilingual data. The approach leverages the LLAMA-initialized text BPE tokenizer,
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  which can handle multilingual text without the need to design language-specific G2P (grapheme-to-phoneme) systems.