English

The defender's perspective on automatic speaker verification: An overview

Sound 2023-06-27 v2 Machine Learning Audio and Speech Processing

Abstract

Automatic speaker verification (ASV) plays a critical role in security-sensitive environments. Regrettably, the reliability of ASV has been undermined by the emergence of spoofing attacks, such as replay and synthetic speech, as well as adversarial attacks and the relatively new partially fake speech. While there are several review papers that cover replay and synthetic speech, and adversarial attacks, there is a notable gap in a comprehensive review that addresses defense against adversarial attacks and the recently emerged partially fake speech. Thus, the aim of this paper is to provide a thorough and systematic overview of the defense methods used against these types of attacks.

Keywords

Cite

@article{arxiv.2305.12804,
  title  = {The defender's perspective on automatic speaker verification: An overview},
  author = {Haibin Wu and Jiawen Kang and Lingwei Meng and Helen Meng and Hung-yi Lee},
  journal= {arXiv preprint arXiv:2305.12804},
  year   = {2023}
}

Comments

Accepted to IJCAI 2023 Workshop

R2 v1 2026-06-28T10:41:03.692Z