Authors
Andreas Nautsch, Xin Wang, Nicholas Evans, Tomi H Kinnunen, Ville Vestman, Massimiliano Todisco, Héctor Delgado, Md Sahidullah, Junichi Yamagishi, Kong Aik Lee
Publication date
2021/2/18
Journal
IEEE Transactions on Biometrics, Behavior, and Identity Science
Volume
3
Issue
2
Pages
252-265
Publisher
IEEE
Description
The ASVspoof initiative was conceived to spearhead research in anti-spoofing for automatic speaker verification (ASV). This paper describes the third in a series of bi-annual challenges: ASVspoof 2019. With the challenge database and protocols being described elsewhere, the focus of this paper is on results and the top performing single and ensemble system submissions from 62 teams, all of which out-perform the two baseline systems, often by a substantial margin. Deeper analyses shows that performance is dominated by specific conditions involving either specific spoofing attacks or specific acoustic environments. While fusion is shown to be particularly effective for the logical access scenario involving speech synthesis and voice conversion attacks, participants largely struggled to apply fusion successfully for the physical access scenario involving simulated replay attacks. This is likely the result of a lack of …
Total citations
202120222023202420405238
Scholar articles
A Nautsch, X Wang, N Evans, TH Kinnunen, V Vestman… - IEEE Transactions on Biometrics, Behavior, and …, 2021