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English(EN) MusicMark: A Robust Generative Watermarking Framework for Music Generation

MusicMark框架将强大的水印直接嵌入AI生成的音乐中

研究人员开发了MusicMark,一个将强大的生成水印直接嵌入AI生成音乐的新型框架。与之前在生成后应用水印的方法不同,MusicMark在生成过程中将其集成到语义潜在空间中。这种方法确保了对各种攻击的更高弹性,包括神经编解码器再合成和新引入的“翻唱攻击”,同时保持了高质量的生成。 AI

影响 增强了AI生成音乐的出处和归属,解决了商业平台的一个关键挑战。

排序理由 该集群描述了一篇详细介绍AI音乐生成新框架的研究论文。

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 →

MusicMark框架将强大的水印直接嵌入AI生成的音乐中

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该集群描述了一篇详细介绍AI音乐生成新框架的研究论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Seohwan Yun, Jeeyoung Yun, Yongjin Kim, Juyeon Lee, Sungwoong Kim ·

    MusicMark:面向音乐生成的鲁棒生成式水印框架

    arXiv:2607.11117v1 Announce Type: cross Abstract: AI music generation has rapidly advanced alongside commercial platforms, raising the need for reliable watermarking for provenance and attribution. However, existing audio watermarking research has largely focused on speech, and a…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    MusicMark:面向音乐生成的鲁棒生成式水印框架

    AI music generation has rapidly advanced alongside commercial platforms, raising the need for reliable watermarking for provenance and attribution. However, existing audio watermarking research has largely focused on speech, and applying speech-oriented methods to music is challe…