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English(EN) DiffAnon: Diffusion-based Prosody Control for Voice Anonymization

DiffAnon 提供基于扩散模型的、具有可控韵律的语音匿名化

研究人员开发了 DiffAnon,一种新颖的基于扩散模型的语音匿名化方法,可对韵律保留进行细粒度控制。该方法允许在匿名化强度和韵律特征保留之间进行连续权衡,韵律特征传达情感和意义。与之前在固定点操作的方法不同,DiffAnon 允许在单个模型内进行平滑插值,从而提供对隐私和效用的结构化控制。 AI

影响 赋能新的隐私保护语音应用,并具有可控的情感和风格表达。

排序理由 学术论文,介绍了一种具有可控韵律的新型语音匿名化方法。

在 arXiv cs.LG 阅读 →

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

DiffAnon 提供基于扩散模型的、具有可控韵律的语音匿名化

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学术论文,介绍了一种具有可控韵律的新型语音匿名化方法。
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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Ismail Rasim Ulgen, Zexin Cai, Nicholas Andrews, Philipp Koehn, Berrak Sisman ·

    DiffAnon:基于扩散模型的韵律控制用于语音匿名化

    arXiv:2604.26281v1 Announce Type: cross Abstract: To preserve or not to preserve prosody is a central question in voice anonymization. Prosody conveys meaning and affect, yet is tightly coupled with speaker identity. Existing methods either discard prosody for privacy or lack a p…

  2. arXiv cs.LG TIER_1 English(EN) · Berrak Sisman ·

    DiffAnon:基于扩散模型的韵律控制用于语音匿名化

    To preserve or not to preserve prosody is a central question in voice anonymization. Prosody conveys meaning and affect, yet is tightly coupled with speaker identity. Existing methods either discard prosody for privacy or lack a principled mechanism to control the utility-privacy…