Speaker Verification Anti-Spoofing Using Linear Prediction Residual Phase Features

Basit Öğe Kaydı
dc.authorid0000-0002-9174-0367en_US
dc.contributor.authorHanilçi, Cemal
dc.date.accessioned2021-03-20T20:14:02Z
dc.date.available2021-03-20T20:14:02Z
dc.date.issued2017
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description25th European Signal Processing Conference (EUSIPCO) -- AUG 28-SEP 02, 2017 -- GREECEen_US
dc.description.abstractThe vulnerability of automatic speaker verification (ASV) systems against spoofing attacks is an important security concern about the reliability of ASV technology. Recently, various countermeasures have been developed for spoofing detection. In this paper, we propose to use features derived from linear prediction (LP) residual signal for spoofing detection using simple Gaussian mixture model (GMM) classifier. Experiments conducted on recently released ASVspoof 2015 database show that LP residual phase cepstral coefficients (LPRPC) outperforms standard MFCC features and considerably improves the spoofing detection performance. With the LPRPC features 97% relative improvement is observed over standard MFCC features on known attacks.en_US
dc.description.sponsorshipEuropean Assoc Signal Proc, IEEE Signal Proc Soc, Inst Commun & Comp Syst, Natl Tech Univ Athens, Plaisio, Mitsubishi Electr Res Lab, MathWorks, Blue Star Ferries, Moto Island Bicycle Rentalsen_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [115E916]en_US
dc.description.sponsorshipThis work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under project #115E916.en_US
dc.identifier.endpage100en_US
dc.identifier.isbn978-0-9928-6267-1
dc.identifier.issn2076-1465
dc.identifier.scopus2-s2.0-85041400204
dc.identifier.scopusqualityN/A
dc.identifier.startpage96en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/984
dc.identifier.wosWOS:000426986000020
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorHanilçi, Cemal
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2017 25Th European Signal Processing Conference (Eusipco)en_US
dc.relation.ispartofseriesEuropean Signal Processing Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keywords]en_US
dc.titleSpeaker Verification Anti-Spoofing Using Linear Prediction Residual Phase Features
dc.typeConference Object

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Elektrik Elektronik Mühendisliği Bölümü Yayın Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu