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| license: mit |
| pipeline_tag: audio-to-audio |
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| [FAcodec](https://arxiv.org/pdf/2403.03100) trained on 50k hours speech data, with more timbre diversity and better at reconstructing speakers from podcasts, videos, games or animations. |
| This is a separate decoder designed and trained based on the pretrained [encoder](https://huggingface.co/Plachta/FAcodec) specifically for voice conversion task. |
| It is capable of zero-shot voice conversion, stream voice conversion and has outstanding timbre generalization ability. |
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| See [main repository](https://github.com/Plachtaa/FAcodec) for example usages. |
