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English(EN) LeVo 2: Stable and Melodious Song Generation via Hierarchical Representation Modeling and Progressive Post-Training

LeVo 2框架通过分层建模推进AI歌曲生成

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了LeVo 2，一个新颖的混合LLM-Diffusion框架，旨在生成具有增强连贯性和音乐性的全长歌曲。该系统采用分层建模方法，其中LeLM负责语义规划，基于扩散的Music Codec负责重建波形。一项关键创新是采用美学引导的训练计划，通过监督微调和各种形式的直接偏好优化，逐步提高生成质量、可控性和音乐性。 AI

影响 这项研究推进了AI在创意内容生成方面的能力，可能对音乐制作和AI辅助作曲工具有影响。

排序理由 该集群包含一篇详细介绍新AI歌曲生成模型的论文。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

LeVo 2框架通过分层建模推进AI歌曲生成

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该集群包含一篇详细介绍新AI歌曲生成模型的论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Shun Lei, Huaicheng Zhang, Dapeng Wu, Yaoxun Xu, Lishi Zuo, Wei Tan, Hangting Chen, Guangzheng Li, Jianwei Yu, Zhiyong Wu, Dong Yu ·

    LeVo 2：通过分层表示建模和渐进式后训练实现稳定且悦耳的歌曲生成

    arXiv:2606.30642v1 Announce Type: cross Abstract: Full-length song generation must preserve coherence and musicality, render detailed vocal and accompaniment acoustics, and follow lyrics and prompts. Existing language model-based systems face a structural trade-off: mixed-token m…

  2. arXiv cs.AI TIER_1 English(EN) · Dong Yu ·

    LeVo 2：通过分层表示建模和渐进式后训练实现稳定且悦耳的歌曲生成

    Full-length song generation must preserve coherence and musicality, render detailed vocal and accompaniment acoustics, and follow lyrics and prompts. Existing language model-based systems face a structural trade-off: mixed-token modeling preserves vocal-instrument coordination bu…

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