Presentation 2015-01-22
Analysis of effects of voice mimicry on speaker verification and acoustic features of the imitated voices
Koji IWANO, Taito SONE, Kanako SAKAMOTO,
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Abstract(in English) It is quite important to recognize the vulnerability of speaker verification (SV) systems against voice mimicry attacks and to propose countermeasure methods against them. This paper describes an acoustic feature analysis using imitated speech uttered by non-professional speakers and a performance degradation of an HMM-based SV system by the mimicry attacks using the imitated speech. We collected normal/imitated speech uttered by 6 males and 6 females, and analyzed the cepstral feature changes by the imitation. The analysis results show the tendency that the acoustic features of the speakers' voice significantly change by their efforts of the imitation, whereas the distance of the acoustic features between imitated and target speaker's speech is still large. The experimental results on the SV system performance show that the mimicry attacks increase equal error rates by 1.2 to 2.7 times. These facts indicate that non-professional mimicry attacks rarely succeed in spoofing the SV system and yield actual performance degradations in spite of the situation where there is a large gap of acoustic features between imitated and target speech.
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Keyword(in English) Speaker verification / Imitated speech / Voice mimicry attack / Acoustic feature analysis
Paper # SP2014-134
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Conference Information
Committee SP
Conference Date 2015/1/15(1days)
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Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analysis of effects of voice mimicry on speaker verification and acoustic features of the imitated voices
Sub Title (in English)
Keyword(1) Speaker verification
Keyword(2) Imitated speech
Keyword(3) Voice mimicry attack
Keyword(4) Acoustic feature analysis
1st Author's Name Koji IWANO
1st Author's Affiliation Faculty of Informatics, Tokyo City University:Faculty of Environmental and Information Studies, Tokyo City University()
2nd Author's Name Taito SONE
2nd Author's Affiliation Faculty of Informatics, Tokyo City University
3rd Author's Name Kanako SAKAMOTO
3rd Author's Affiliation Faculty of Informatics, Tokyo City University
Date 2015-01-22
Paper # SP2014-134
Volume (vol) vol.114
Number (no) 411
Page pp.pp.-
#Pages 6
Date of Issue