Emotion Recognition From Speech Using Fisher's Discriminant Analysis and Bayesian Classifier

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dc.contributor.authorAtasoy, Huseyin
dc.contributor.authorYildirim, Serdar
dc.contributor.authorYildirim, Esen
dc.date.accessioned2024-09-18T20:55:28Z
dc.date.available2024-09-18T20:55:28Z
dc.date.issued2015
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractIn this study, a large number of features that were obtained to classify speech emotions were projected into different spaces, selecting different numbers of principal components in principal component analysis and Fisher's discriminant analysis. Classifications were performed in those spaces using Naive-Bayes classifier and obtained results were compared. While the highest accuracy obtained in the Fisher space was 57.87%, it was calculated as 48.02% in the principal component space.en_US
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn,Elect & Elect Engn,Bilkent Univen_US
dc.identifier.endpage2516en_US
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-84939168699en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage2513en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12483/11838
dc.identifier.wosWOS:000380500900612en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2015 23rd Signal Processing and Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectprincipal component analysisen_US
dc.subjectfisher's linear discriminant analysisen_US
dc.subjectemotion recognitionen_US
dc.titleEmotion Recognition From Speech Using Fisher's Discriminant Analysis and Bayesian Classifieren_US
dc.typeConference Objecten_US

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