Speaker Recognition Anti-spoofing Using Linear Prediction Residual

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dc.authorid0000-0002-9174-0367en_US
dc.contributor.authorHanilçi, Cemal
dc.date.accessioned2021-03-20T20:14:08Z
dc.date.available2021-03-20T20:14:08Z
dc.date.issued2017
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEYen_US
dc.description.abstractSpeaker recognition systems have recently proven to be highly vulnerable against spoofing attacks. Therefore, it is important to detect spoofing attacks performed by speech synthesis and voice conversion in order to improve the reliability of speaker recgnition systems. To this end, in this study, we propose to use of features extracted from linear prediction (LP) resdiual signal for the detection of SS and VC based spoofing attacks against speaker recognition systems. Experiments are conducted on recently released ASVspoof 2015 database which consists of spoofed speech signals generated by ten different SS and VC algorithms. Experimental results show that, SS and VC attacks can effectively be detected using the features extracted from LP residual signal and mel frequency cepstral coefficients (MFCC) using Gaussian mixture model (GMM) classifier.en_US
dc.description.sponsorshipTurk Telekom, Arcelik A S, Aselsan, ARGENIT, HAVELSAN, NETAS, Adresgezgini, IEEE Turkey Sect, AVCR Informat Technologies, Cisco, i2i Syst, Integrated Syst & Syst Design, ENOVAS, FiGES Engn, MS Spektral, Istanbul Teknik Univen_US
dc.identifier.isbn978-1-5090-6494-6
dc.identifier.issn2165-0608
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1002
dc.identifier.wosWOS:000413813100011en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorHanilçi, Cemal
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2017 25Th Signal Processing And Communications Applications Conference (Siu)en_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectspeaker recognitionen_US
dc.subjectspoofing attacksen_US
dc.subjectanti-spoofingen_US
dc.titleSpeaker Recognition Anti-spoofing Using Linear Prediction Residualen_US
dc.typeConference Objecten_US

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