Robust Spoofed Speech Detection with Denoised I-vectors

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dc.authoridDisken, Gokay/0000-0002-8680-0636
dc.contributor.authorDisken, Gokay
dc.date.accessioned2025-01-06T17:37:29Z
dc.date.available2025-01-06T17:37:29Z
dc.date.issued2023
dc.description.abstractSpoofed speech detection is recently gaining attention of the researchers as speaker verification is shown to be vulnerable to spoofing attacks such as voice conversion, speech synthesis, replay, and impersonation. Although various different methods have been proposed to detect spoofed speech, their performances decrease dramatically under the mismatched conditions due to the additive or reverberant noises. Conventional speech enhancement methods fail to recover the performance gap, hence more advanced techniques seem to be necessary to solve the noisy spoofed speech detection problem. In this work, Denoising Autoencoder (DAE) is used to obtain clean estimates of i-vectors from their noisy versions. ASVspoof 2015 database is used in the experiments with five different noise types, added to the original utterances at 0, 10, and 20 dB signal-to-noise ratios (SNR). The experimental results verified that the DAE provides a more robust spoof detection, where the conventional methods fail.
dc.description.sponsorshipTUBITAK [121E057]
dc.description.sponsorshipFINANCIAL DISCLOSURE This study was supported by TUBITAK under project no. 121E057.
dc.identifier.doi10.35378/gujs.1062788
dc.identifier.endpage1561
dc.identifier.issn2147-1762
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85179889617
dc.identifier.scopusqualityQ2
dc.identifier.startpage1553
dc.identifier.urihttps://doi.org/10.35378/gujs.1062788
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2224
dc.identifier.volume36
dc.identifier.wosWOS:001122788800001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherGazi Univ
dc.relation.ispartofGazi University Journal of Science
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectDenoising autoencoder
dc.subjectSpeaker verification
dc.subjectSpoof detection
dc.titleRobust Spoofed Speech Detection with Denoised I-vectors
dc.typeArticle

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