NDLI: Re-assessing the threat of replay spoofing attacks against automatic speaker verification

Content Provider	IEEE Xplore Digital Library
Author	Alegre, Federico Janicki, Artur Evans, Nicholas
Copyright Year	2014
Description	Author affiliation: Warsaw University of Technology Warsaw, Poland (Janicki, Artur) \|\| EURECOM Sophia Antipolis, France (Alegre, Federico; Evans, Nicholas)
Abstract	This paper re-examines the threat of spoofing or presentation attacks in the context of automatic speaker verification (ASV). While voice conversion and speech synthesis attacks present a serious threat, and have accordingly received a great deal of attention in the recent literature, they can only be implemented with a high level of technical know-how. In contrast, the implementation of replay attacks require no specific expertise nor any sophisticated equipment and thus they arguably present a greater risk. The comparative threat of each attack is re-examined in this paper against six different ASV systems including a state-of-the-art iVector-PLDA system. Despite the lack of attention in the literature, experiments show that low-effort replay attacks provoke higher levels of false acceptance than comparatively higher-effort spoofing attacks such as voice conversion and speech synthesis. Results therefore show the need to refocus research effort and to develop countermeasures against replay attacks in future work.
Starting Page	1
Ending Page	6
File Size	635486
Page Count	6
File Format	PDF
ISBN	9783885796244
e-ISBN	9783885796244
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-10
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Gesellschaft für Informatik e.V. - GI).
Subject Keyword	Adaptation models Hidden Markov models Speech Acoustics Speaker recognition Speech synthesis Standards
Content Type	Text
Resource Type	Article

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