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dc.contributor.authorPillay, S.G.
dc.contributor.authorAriyaeeinia, A.
dc.contributor.authorSivakumaran, P.
dc.contributor.authorPawlewski, M.
dc.date.accessioned2010-01-11T14:36:57Z
dc.date.available2010-01-11T14:36:57Z
dc.date.issued2009
dc.identifier.citationPillay , S , Ariyaeeinia , A , Sivakumaran , P & Pawlewski , M 2009 , ' Open-Set Speaker Identification under Mismatch Conditions ' , Procs. of the 10th Annual Conference of the International Speech Communication Association, INTERSPEECH , vol 2009 , pp. 2347-2350 .en
dc.identifier.otherPURE: 110826
dc.identifier.otherdspace: 2299/4136
dc.identifier.urihttp://hdl.handle.net/2299/4136
dc.descriptionFull text of this paper is not available in the UHRA.en
dc.description.abstractThis paper presents investigations into the performance of open-set, text-independent speaker identification (OSTI-SI) under mismatched data conditions. The scope of the study includes attempts to reduce the adverse effects of such conditions through the introduction of a modified parallel model combination (PMC) method together with condition-adjusted T-Norm (CT-Norm) into the OSTI-SI framework. The experiments are conducted using examples of real world noise. Based on the outcomes, it is demonstrated that the above approach can lead to considerable improvements in the accuracy of open-set speaker identification operating under severely mismatched data conditions. The paper details the realisation of the modified PMC method and CT-Norm in the context of OSTI-SI, presents the experimental investigations and provides an analysis of the results.en
dc.language.isoeng
dc.relation.ispartofProcs. of the 10th Annual Conference of the International Speech Communication Association, INTERSPEECHen
dc.titleOpen-Set Speaker Identification under Mismatch Conditionsen
dc.typeArticleen
dc.typetexten
dc.contributor.institutionSchool of Engineering and Technologyen
dc.description.versionotheren
dc.description.statusPeer revieweden
herts.preservation.rarelyaccessedtrue


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