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  github:[DiaMoE-TTS](https://github.com/GiantAILab/DiaMoE-TTS)
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  We utilize the [Common Voice Cantonese dataset](https://arxiv.org/abs/1912.06670), the [Emilia Mandarin dataset](https://arxiv.org/abs/2407.05361) and dialectal data from the [KeSpeech corpus](https://openreview.net/forum?id=b3Zoeq2sCLq) and a open-source [Sourthern Min dataset](https://sutian.moe.edu.tw/zh-hant/siongkuantsuguan/) for training.
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- We only release the frontend of the open-source dataset IPA here.
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  ## Short Intro
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  github:[DiaMoE-TTS](https://github.com/GiantAILab/DiaMoE-TTS)
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  We utilize the [Common Voice Cantonese dataset](https://arxiv.org/abs/1912.06670), the [Emilia Mandarin dataset](https://arxiv.org/abs/2407.05361) and dialectal data from the [KeSpeech corpus](https://openreview.net/forum?id=b3Zoeq2sCLq) and a open-source [Sourthern Min dataset](https://sutian.moe.edu.tw/zh-hant/siongkuantsuguan/) for training.
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+ We only release the frontend of the open-source dataset IPA here, audio data that matches the IPA frontend can be applied for or downloaded from the corresponding official link.
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  ## Short Intro
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