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

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...

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Published in2014 International Conference of the Biometrics Special Interest Group (BIOSIG) pp. 1 - 6
Main Authors Alegre, Federico, Janicki, Artur, Evans, Nicholas
Format Conference Proceeding
LanguageEnglish
Published Gesellschaft für Informatik e.V. - GI 01.09.2014
Subjects
Acoustics
Adaptation models
Hidden Markov models
Speaker recognition
Speech
Speech synthesis
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Summary: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.
ISBN:9783885796244
3885796244