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新方法通过口音控制增强跨语言语音克隆 · 跟踪3个来源

研究人员开发了一种名为闭环双参考引导的新方法,通过控制口音来改进跨语言语音克隆。该技术将原始参考说话人与可重用的本地锚点配对,这有助于在克隆语音中保持所需的口音。与直接克隆方法相比,该系统在口音泄露方面有了显著减少,并提高了说话人身份识别度,同时对于实时合成也更有效。 AI

影响 语音克隆的口音控制和推荐系统中的解惑(unlearning)的进展。

排序理由 该集群包含两篇提交到arXiv的独立学术论文,一篇关于语音克隆,另一篇关于推荐系统,符合研究类别。

在 arXiv cs.LG 阅读 →

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新方法通过口音控制增强跨语言语音克隆 · 跟踪3个来源

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Research
该集群包含两篇提交到arXiv的独立学术论文,一篇关于语音克隆,另一篇关于推荐系统,符合研究类别。
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paper, model release
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报道来源 [3]

  1. arXiv cs.CL TIER_1 English(EN) · Yuanzhong Zheng, Wei Huang, Ming Ma, Kailun Jin, Youhai Jiang ·

    Closed-Loop Dual-Reference Guidance for Accent Control in Cross-Lingual Voice Cloning

    arXiv:2610.29351v1 Announce Type: cross Abstract: Zero-shot cross-lingual voice cloning often carries the reference speaker's accent into the target language. We propose closed-loop dual-reference guidance, which pairs the original reference with a reusable native anchor construc…

  2. arXiv cs.LG TIER_1 English(EN) · Pierre Lubitzsch, Yubao Tang, Maarten de Rijke, Sebastian Schelter ·

    面向生成式推荐的邻域感知遗忘

    arXiv:2610.27232v1 Announce Type: cross Abstract: Generative recommendation predicts items by autoregressively generating semantic identifiers (SIDs), whose tokens are shared across semantically related items. With this paradigm gaining adoption, the question of how to support un…

  3. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Sebastian Schelter ·

    Neighborhood-Aware Unlearning for Generative Recommendation

    Generative recommendation predicts items by autoregressively generating semantic identifiers (SIDs), whose tokens are shared across semantically related items. With this paradigm gaining adoption, the question of how to support unlearning in it has become pressing. If training in…