ISCA Archive SPSC 2021
ISCA Archive SPSC 2021

Revisiting Speech Content Privacy

Jennifer Williams, Junichi Yamagishi, Paul-Gauthier, Cassia Valentini-Botinhao, Jean-Fran├žois Bonastre

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 underexplored 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.

doi: 10.21437/SPSC.2021-9

Cite as: Williams, J., Yamagishi, J., Paul-Gauthier, , Valentini-Botinhao, C., Bonastre, J.-F. (2021) Revisiting Speech Content Privacy. Proc. 2021 ISCA Symposium on Security and Privacy in Speech Communication, 42-46, doi: 10.21437/SPSC.2021-9

  author={Jennifer Williams and Junichi Yamagishi and  Paul-Gauthier and Cassia Valentini-Botinhao and Jean-Fran├žois Bonastre},
  title={{Revisiting Speech Content Privacy}},
  booktitle={Proc. 2021 ISCA Symposium on Security and Privacy in Speech Communication},