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dc.contributor.authorChettri, Ben_US
dc.contributor.authorSturm, BLen_US
dc.contributor.authorBenetos, Een_US
dc.date.accessioned2018-11-09T10:15:21Z
dc.date.available2018-07-08en_US
dc.date.issued2018en_US
dc.date.submitted2018-08-06T12:02:56.104Z
dc.identifier.issn2161-0363en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/49725
dc.subjectAutomatic speaker verificationen_US
dc.subjectspoofing detectionen_US
dc.subjectreplay attacken_US
dc.subjectspoofing countermeasureen_US
dc.titleANALYSING REPLAY SPOOFING COUNTERMEASURE PERFORMANCE UNDER VARIED CONDITIONSen_US
dc.typeConference Proceeding
dc.rights.holder© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000450651000021&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNo embargoen_US
pubs.publication-statusPublisheden_US
qmul.funderA Machine Learning Framework for Audio Analysis and Retrieval::Royal Academy of Engineeringen_US


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