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Jul, 2024
多语言讲话者匿名化的可行性探究
Probing the Feasibility of Multilingual Speaker Anonymization
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Sarina Meyer, Florian Lux, Ngoc Thang Vu
TL;DR
通过对九种语言的组件进行转换，将说话人匿名化系统扩展到多种语言，并通过隐私攻击和语音退化测试证明了该系统的整体成功。结果表明，基于英语数据训练的说话人嵌入可以应用于多种语言，并且语音合成组件的质量主要影响该语言的匿名化性能。
Abstract
In
speaker anonymization
,
speech recordings
are modified in a way that the identity of the speaker remains hidden. While this technology could help to protect the
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