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首页> 外文期刊>Signal Processing Magazine, IEEE >Privacy-Preserving Speech Processing: Cryptographic and String-Matching Frameworks Show Promise
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Privacy-Preserving Speech Processing: Cryptographic and String-Matching Frameworks Show Promise

机译：保持隐私的语音处理：加密和字符串匹配框架显示了希望

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摘要

Speech is one of the most private forms of communication. People do not like to be eavesdropped on. They will frequently even object to being recorded; in fact, in many places it is illegal to record people speaking in public, even when it is acceptable to capture their images on video [1]. Yet, when a person uses a speech-based service such as a voice authentication system or a speech recognition service, they must grant the service complete access to their voice recordings. This exposes the user to abuse, with security, privacy and economic implications. For instance, the service could extract information such as gender, ethnicity, and even the emotional state of the user from the recordingfactors not intended to be exposed by the userand use them for undesired purposes. The recordings may be edited to create fake recordings that the user never spoke, or to impersonate them for other services. Even derivatives from the voice are risky to expose. For example, a voice-authentication service could make unauthorized use of the models or voice prints it has for users to try to identify their presence in other media such as YouTube.
机译：言语是最私密的交流形式之一。人们不喜欢被窃听。他们甚至会经常反对录音。实际上，在许多地方，即使在视频上捕获其图像是可以接受的，但在公共场合讲话的人录制却是非法的[1]。但是，当一个人使用基于语音的服务（例如语音验证系统或语音识别服务）时，他们必须授予该服务对其语音记录的完全访问权限。这使用户容易受到滥用，从而带来安全性，隐私和经济隐患。例如，该服务可以从不希望被用户暴露的记录因素中提取诸如性别，种族，甚至用户的情绪状态之类的信息，并将其用于不期望的目的。可以对录音进行编辑，以创建用户从未讲过的虚假录音，或将其假冒为其他服务。即使是声音的衍生词也有暴露的风险。例如，语音验证服务可能会未经授权使用其具有的模型或语音打印，以便用户尝试识别其在其他媒体（例如YouTube）中的存在。

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