Feature selection using genetic algorithm and its application to speaker verification

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dc.contributor.authorHaydar, A
dc.contributor.authorDemirekler, M
dc.contributor.authorYurtseven, MK
dc.date.accessioned2026-02-06T18:43:41Z
dc.date.issued1998
dc.departmentDoğu Akdeniz Üniversitesi
dc.description.abstractIt is shown that a reduction of the set that contains 24 parameters (i.e. the base set) to one that contains only 5, 6, 7, 8 or 10 parameters using a genetic algorithm increases the recognition rate by similar to 4.5%. Also, a 0.8% increase in the recognition rate is obtained when a mixture of Gaussian densities are used instead of a single Gaussian density to represent a speaker.
dc.identifier.doi10.1049/el:19981069
dc.identifier.endpage1459
dc.identifier.issn0013-5194
dc.identifier.issue15
dc.identifier.scopus2-s2.0-0032115179
dc.identifier.scopusqualityQ3
dc.identifier.startpage1457
dc.identifier.urihttps://doi.org/10.1049/el:19981069
dc.identifier.urihttps://hdl.handle.net/11129/13721
dc.identifier.volume34
dc.identifier.wosWOS:000075339500013
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIee-Inst Elec Eng
dc.relation.ispartofElectronics Letters
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260204
dc.titleFeature selection using genetic algorithm and its application to speaker verification
dc.typeArticle

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