PERFORMANCE OPTIMIZATION on EMOTION RECOGNITION from SPEECH

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dc.contributor.authorDurukal, Mesut
dc.contributor.authorHocaoglu, A. Koksal
dc.date.accessioned2025-10-29T11:36:29Z
dc.date.issued2015
dc.departmentGebze Teknik Üniversitesi
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEY
dc.description.abstractThis work presents MFCC-based emotion recognition from speech. For this purpose; after features of labeled speech signals are extracted and a classifier is trained, the classification performance is measured over test data. Contribution of each parameter to the classification performance is exhibited by training the system with different parameters. Additionally; the role of MFCC features in emotion recognition is analyzed by comparing the results to others obtained with additional features.
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn,Elect & Elect Engn,Bilkent Univ
dc.identifier.endpage311
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-84939127512
dc.identifier.scopusqualityN/A
dc.identifier.startpage308
dc.identifier.urihttps://hdl.handle.net/20.500.14854/13293
dc.identifier.wosWOS:000380500900055
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof2015 23rd Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20251020
dc.subjectemotion recognition from speech
dc.subjectperformance improvement on emotion recognition
dc.subjectemotion classification
dc.titlePERFORMANCE OPTIMIZATION on EMOTION RECOGNITION from SPEECH
dc.typeConference Object

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