Privacy in Speech Technology
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Abstract (arXiv)
Speech technology for communication, accessing information, and services has rapidly improved in quality. It is convenient and appealing because speech is the primary mode of communication for humans. Such technology, however, also presents proven threats to privacy. Speech is a tool for communication and it will thus inherently contain private information. Importantly, it however also contains a wealth of side information, such as information related to health, emotions, affiliations, and relationships, all of which are private. Exposing such private information can lead to serious threats such as price gouging, harassment, extortion, and stalking. This paper is a tutorial on privacy issues related to speech technology, modeling their threats, approaches for protecting users' privacy, measuring the performance of privacy-protecting methods, perception of privacy as well as societal and legal consequences. In addition to a tutorial overview, it also presents lines for further development where improvements are most urgently needed.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 May 2023.
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Citing papers per year: 2026: 4.
4 papers.
- 2026Voice Privacy from an Attribute-based Perspectivecited by 0
- 2026Anonymization, Not Elimination: Utility-Preserved Speech Anonymizationcited by 0
- 2026EmotionAI: A Privacy-Preserving Computational Intelligence Pipeline for Speech-Emotion-Grounded Conversational Analysiscited by 0
- 2026Hearing the Whispers: Black-Box Membership Inference Attacks on Finetuned TTS Modelscited by 0
- 2026Hearing the Whispers: Black-Box Membership Inference Attacks on Finetuned TTS Models1 Sep 2026
- 2026EmotionAI: A Privacy-Preserving Computational Intelligence Pipeline for Speech-Emotion-Grounded Conversational Analysis22 Jun 2026
- 2026Anonymization, Not Elimination: Utility-Preserved Speech Anonymization18 Apr 2026
- 2026Voice Privacy from an Attribute-based Perspective19 Mar 2026