Sound Privacy: A Conversational Speech Corpus for Quantifying the Experience of Privacy
Sound Privacy: A Conversational Speech Corpus for Quantifying the Experience of Privacy
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声音隐私：用于量化隐私体验的会话语音语料库
DOI：
10.21437/interspeech.2019-1172
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
A. Vuppala
中科院分区：
文献类型：
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作者：
Pablo Pérez Zarazaga;Sneha Das;Tomas Bäckström;Vishnu Vidyadhara Raju Vegesna;A. Vuppala
随着社交网络、云服务和在线应用的日益普及，人们越来越关注公司存储数据的方式以及数据的应用方式。通过语音操作的设备和服务的隐私特别令人感兴趣。为了使隐私的研究，本文提出了一个数据库，量化的隐私用户在口头交流的经验。我们专注于声学环境对隐私感知的影响。语音信号记录在模拟现实生活情况的场景中，其中声学环境对隐私体验有影响。声学数据的补充措施的扬声器的隐私体验，使用问卷记录。所提出的语料库使得能够研究声学环境如何影响人们的隐私体验，这反过来又可以用于开发尊重其隐私权的语音操作应用程序。
With the growing popularity of social networks, cloud services and online applications, people are becoming concerned about the way companies store their data and the ways in which the data can be applied. Privacy with devices and services operated by the voice are of particular interest. To enable studies in privacy, this paper presents a database which quantifies the experience of privacy users have in spoken communication. We focus on the effect of the acoustic environment on that perception of privacy. Speech signals are recorded in scenarios simulating real-life situations, where the acoustic environment has an effect on the experience of privacy. The acoustic data is complemented with measures of the speakers’ experience of privacy, recorded using a questionnaire. The presented corpus enables studies in how acoustic environments affect peoples’ experience of privacy, which in turn, can be used to develop speech operated applications which are respectful of their right to privacy.