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README.md
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In monologue, narration, dialogue, and multi-speaker scenes, our dubbing model consistently outperforms state-of-the-art methods in terms of audio quality, lip-sync, timbre transition, and instruction following.
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You can access [https://funcineforge.github.io/](https://funcineforge.github.io/) to get our CineDub dataset samples and demo samples.
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GitHub link: [https://github.com/FunAudioLLM/FunCineForge/](https://github.com/FunAudioLLM/FunCineForge/)
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Modelscope link: [https://www.modelscope.cn/models/FunAudioLLM/Fun-CineForge/](https://www.modelscope.cn/models/FunAudioLLM/Fun-CineForge/)
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In monologue, narration, dialogue, and multi-speaker scenes, our dubbing model consistently outperforms state-of-the-art methods in terms of audio quality, lip-sync, timbre transition, and instruction following.
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You can access [https://funcineforge.github.io/](https://funcineforge.github.io/) to get our CineDub dataset samples and demo samples.
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GitHub link: [https://github.com/FunAudioLLM/FunCineForge/](https://github.com/FunAudioLLM/FunCineForge/)
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Modelscope link: [https://www.modelscope.cn/models/FunAudioLLM/Fun-CineForge/](https://www.modelscope.cn/models/FunAudioLLM/Fun-CineForge/)
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