Improving Text-to-Music Generation with Human Preference Rewards
A text-to-music generation system uses reward conditioning, expert iteration, and preference tuning to improve audio quality while maintaining efficiency within a 120M-parameter mo…
Hugging Face · Daily Papers
·Yonghyun Kim, Junwon Lee
·
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Yonghyun Kim, Junwon Lee, Haiwen Xia, Yinghao Ma, Chris Donahue
- 0 upvotes da comunidade
- Temas: FluxAudio-S, FAD-CLAP, CLAP score, TuneJury, twin pairwise ranker, training-time reward conditioning
Resumo
Resumo original (em inglês), extraído do paper:
A text-to-music generation system uses reward conditioning, expert iteration, and preference tuning to improve audio quality while maintaining efficiency within a 120M-parameter model framework.
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