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arXiv · 2110.06760

Revisiting Speech Content Privacy

Jennifer Williams·Junichi Yamagishi·Paul-Gauthier Noe·Cassia Valentini Botinhao·Jean-Francois Bonastre
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Abstract

In this paper, we discuss an important aspect of speech privacy: protecting spoken content. New capabilities from the field of machine learning provide a unique and timely opportunity to revisit speech content protection. There are many different applications of content privacy, even though this area has been under-explored in speech technology research. This paper presents several scenarios that indicate a need for speech content privacy even as the specific techniques to achieve content privacy may necessarily vary. Our discussion includes several different types of content privacy including recoverable and non-recoverable content. Finally, we introduce evaluation strategies as well as describe some of the difficulties that may be encountered.

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Jennifer Williams, Junichi Yamagishi, Paul-Gauthier Noe, Cassia Valentini Botinhao, Jean-Francois Bonastre. 2021-10-13. Revisiting Speech Content Privacy. https://arxiv.org/abs/2110.06760

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