Speaker identification through use of features selected using genetic algorithm

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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.abstractThe authors introduce the use of a genetic algorithm in the reduction of a 24 parameter (12 LPC derived cepstral coefficients +12 Delta-cepstral coefficients) set to a five, six, seven, eight or ten parameter set, for each speaker in text-independent speaker identification. The experimental results show that there is similar to 5% increase in the recognition rate when the reduced set of parameters is used.
dc.identifier.doi10.1049/el:19980126
dc.identifier.endpage40
dc.identifier.issn0013-5194
dc.identifier.issue1
dc.identifier.scopus2-s2.0-0032495298
dc.identifier.scopusqualityQ3
dc.identifier.startpage39
dc.identifier.urihttps://doi.org/10.1049/el:19980126
dc.identifier.urihttps://hdl.handle.net/11129/13719
dc.identifier.volume34
dc.identifier.wosWOS:000071892700026
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/openAccess
dc.snmzKA_WoS_20260204
dc.titleSpeaker identification through use of features selected using genetic algorithm
dc.typeArticle

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