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New spectral features and classifier architectures for emotion recognition from spontaneous speech

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dc.contributor.advisorErzin, Engin
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorBozkurt, Elif
dc.contributor.programElectrical and Computer Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.coverage.spatialİstanbul
dc.date.accessioned2024-11-09T22:05:13Z
dc.date.issued2010
dc.format.extentviii, 45 l. : ill. ; 30 cm.
dc.identifier.urihttps://hdl.handle.net/20.500.14288/4795
dc.keywordsEmotion recognition
dc.keywordsMel frequency cepstral coefficient
dc.language.isoeng
dc.publisherKoç University
dc.relation.collectionKU Theses and Dissertations
dc.rightsrestrictedAccess
dc.rights.copyrightsnote© All Rights Reserved. Accessible to Koç University Affiliated Users Only!
dc.subjectSpeech processing systems
dc.subjectAutomatic speech recognition
dc.titleNew spectral features and classifier architectures for emotion recognition from spontaneous speech
dc.typeThesis
dspace.entity.typePublication
local.contributor.kuauthorBozkurt, Elif
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