Benchmarking and challenges in security and privacy for voice biometrics

Bonastre, Jean-François; Delgado, Hector; Evans, Nicholas; Kinnunen, Tomi; Lee, Kong Aik; Liu, Xuechen; Nautsch, Andreas; Noe, Paul-Gauthier; Patino, Jose; Sahidullah, Md; Srivastava, Brij Mohan Lal; Todisco, Massimiliano; Tomashenko, Natalia; Vincent, Emmanuel; Wang, Xin; Yamagishi, Junichi
Submitted to ArXiV, 1 September 2021

For many decades, research in speech technologies has focused upon improving reliability. With this now meeting user expectations for a range of diverse applications, speech technology is today omni-present. As result, a focus on security and privacy has now come to the fore. Here, the research effort is in its relative infancy and progress calls for greater, multidisciplinary collaboration with security, privacy, legal and ethical experts among others. Such collaboration is now underway. To help catalyse the efforts, this paper provides a high-level overview of some related research. It targets the non-speech audience and describes the benchmarking methodology that has spearheaded progress in traditional research and which now drives recent security and privacy initiatives related to voice biometrics. We describe: the ASVspoof challenge relating to the development of spoofing countermeasures; the VoicePrivacy initiative which promotes research in anonymisation for privacy preservation.


HAL
Type:
Conférence
Date:
2021-08-31
Department:
Sécurité numérique
Eurecom Ref:
6661
Copyright:
© EURECOM. Personal use of this material is permitted. The definitive version of this paper was published in Submitted to ArXiV, 1 September 2021 and is available at :

PERMALINK : https://www.eurecom.fr/publication/6661