An assessment of automatic speaker verification vulnerabilities to replay spoofing attacks

Artur Janicki , Federico Alegre , Nicholas Evans

Abstract

This paper analyses the threat of replay spoofing or presentation attacks in the context of automatic speaker verification. Asrelatively high-technology attacks, speech synthesis and voice conversion, which have thus far received far greater attentionin the literature, are probably beyond the means of the average fraudster. The implementation of replay attacks, in contrast,requires no specific expertise nor sophisticated equipment. Replay attacks are thus likely to be the most prolific in practice,while their impact is relatively under-researched. The work presented here aims to compare at a high level the threat ofreplay attacks with those of speech synthesis and voice conversion. The comparison is performed using strictly controlledprotocols and with six different automatic speaker verification systems including a state-of-the-art iVector/probabilisticlinear discriminant analysis system. Experiments show that low-effort replay attacks present at least a comparable threatto speech synthesis and voice conversion. The paper also describes and assesses two replay attack countermeasures. Arelatively new approach based on the local binary pattern analysis of speech spectrograms is shown to outperform acompeting approach based on the detection of far-field recordings.
Author Artur Janicki IT
Artur Janicki,,
- The Institute of Telecommunications
, Federico Alegre - ValidSoft
Federico Alegre,,
-
, Nicholas Evans - EURECOM Sophia Antipolis
Nicholas Evans,,
-
Journal seriesSecurity and Communication Networks, ISSN 1939-0114 [1939-0122]
Issue year2016
Vol9
No15
Pages3030-3044
Publication size in sheets0.7
Keywords in Englishspeaker verification; spoofing; presentation attack; replay; countermeasures; local binary patterns
DOIDOI:10.1002/sec.1499
projectThe Develpment of Digital Communicatios. Project leader: Siuzdak Jerzy, , Phone: +48 22 234-7232, start date 27-04-2015, end date 31-12-2016, IT/2015/statut, Completed
WEiTI Działalność statutowa
Languageen angielski
File
2016 Janicki An assessment of automatic speaker verification.pdf / 845.88 KB / 2016 Janicki An assessment of automatic speaker verification.pdf 845.88 KB
Score (nominal)20
ScoreMinisterial score = 20.0, 27-03-2017, ArticleFromJournal
Ministerial score (2013-2016) = 20.0, 27-03-2017, ArticleFromJournal
Publication indicators WoS Impact Factor: 2016 = 1.067 (2) - 2016=1.022 (5)
Citation count*5 (2018-02-22)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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