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README.md
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---
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license: cc-by-nc-4.0
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datasets:
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- mesolitica/Malaysian-Emilia
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language:
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- ms
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- en
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base_model:
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- SWivid/F5-TTS
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new_version: mesolitica/Malaysian-F5-TTS-v2
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---
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# Full Parameter Finetuning Malaysian Emilia F5-TTS v2
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Continue training from [SWivid/F5-TTS](https://huggingface.co/SWivid/F5-TTS) on [Malaysian-Emilia](https://huggingface.co/datasets/mesolitica/Malaysian-Emilia),
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with total 8472 hours included 600 hours Mandarin sampled from [amphion/Emilia-Dataset](https://huggingface.co/datasets/amphion/Emilia-Dataset).
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**This model should be able to zero-shot voice conversion any Malaysian and Singaporean speakers**.
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## Checkpoints
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We uploaded full checkpoints with optimizer states at [checkpoints](checkpoints).
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## Dataset
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We train on postfilter [Malaysian-Emilia](https://huggingface.co/datasets/mesolitica/Malaysian-Emilia) called [Malaysian-Voice-Conversion](https://huggingface.co/datasets/mesolitica/Malaysian-Voice-Conversion)
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## Source code
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All source code at https://github.com/mesolitica/malaya-speech/tree/master/session/f5-tts
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