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FAcodec trained on 50k hours speech data, with more timbre diversity and better at reconstructing speakers from podcasts, videos, games or animations. See main repository for example usages.
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FAcodec trained on 50k hours speech data, with more timbre diversity and better at reconstructing speakers from podcasts, videos, games or animations.
See main repository for example usages.
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1 fonteVerificado 19 de set.
Artefatos de modelo
1 artefatoTrechos de fonte
2 trechos--- license: mit pipeline_tag: audio-to-audio --- [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. See [main repository](https://github.com/Plachtaa/FAcodec) for example usages.
Source context: 0 downloads · 10 likes · Pipeline audio-to-audio · Repo Plachta/FAcodec
