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English(EN) Your Voice Cloning System is Secretly a Voice Anonymizer

语音克隆技术被重新用于匿名化，引发安全担忧

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员发现了一种无需重新训练即可将XTTSv2语音克隆模型重新用于说话人匿名化的方法。该模型在大量语音数据上训练而成，能够独立于说话人身份保留韵律结构，通过条件化伪说话人来实现语音转换。迭代优化策略在隐私和效用之间取得平衡，与七种欧洲语言中现有的匿名化方法相比，在隐私性和可懂度方面表现优异，语音质量也更胜一筹。 AI

影响 这项研究展示了语音克隆模型的双重用途能力，突显了潜在的隐私效益和新的社会工程诈骗途径。

排序理由 详细介绍现有AI模型新应用的学术论文。

在 arXiv cs.CL 阅读 →

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

语音克隆技术被重新用于匿名化，引发安全担忧

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报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Romolo Muletta, Felix Matthias Saaro, Mark Cieliebak, Jan Deriu ·

    您的语音克隆系统秘密身份是语音匿名器

    arXiv:2608.27360v1 Announce Type: new Abstract: Speaker anonymization suppresses speaker-identifying attributes from speech while preserving linguistic content and quality. We propose repurposing XTTSv2, a multilingual voice cloning model trained on 27k hours of speech, for speak…

  2. Mastodon — mastodon.social TIER_1 English(EN) · tahamirehman_19 ·

    如果家人的声音不是他们本人的，会怎样？AI语音克隆正在改变社会工程学。骗子可以将逼真的声音与紧迫感结合起来

    What if your family member's voice wasn't really theirs? AI voice cloning is changing social engineering. A scammer can combine a convincing voice with urgency and personal information to pressure someone into sending money. Don't ask only: “Does this sound like them?” Ask: “How …

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