Robust Acoustic Emotion Recognition Based on Cascaded Normalization and Extreme Learning Machines

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dc.authorid0000-0003-3424-652X
dc.authorid0000-0001-6342-428X
dc.authorid0000-0001-6342-428X
dc.authorid0000-0001-7947-5508
dc.authorscopusid36241785000
dc.authorscopusid57219469958
dc.authorscopusid7006556254
dc.authorwosidKarpov, Alexey A/A-8905-2012
dc.authorwosidSalah, Albert Ali/E-5820-2013
dc.authorwosidSalah, Albert Ali/ABH-5561-2020
dc.contributor.authorKaya, Heysem
dc.contributor.authorKarpov, Alexey A.
dc.contributor.authorSalah, Albert Ali
dc.date.accessioned2022-05-11T14:15:49Z
dc.date.available2022-05-11T14:15:49Z
dc.date.issued2016
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description13th International Symposium on Neural Networks (ISNN) -- JUL 06-08, 2016 -- Saint Petersburg, RUSSIA
dc.description.abstractOne of the challenges in speech emotion recognition is robust and speaker-independent emotion recognition. In this paper, we take a cascaded normalization approach, combining linear speaker level, non-linear value level and feature vector level normalization to minimize speaker-related effects and to maximize class separability with linear kernel classifiers. We use extreme learning machine classifiers on a four class (i.e. joy, anger, sadness, neutral) problem. We show the efficacy of our proposed method on the recently collected Turkish Emotional Speech Database.
dc.description.sponsorshipCity Univ Hong Kong, Russian Acad Sci, St Petersburg Inst Informat & Automat, IEEE Hong Kong Sect, CIS Chapter, Int Neural Network Soc, Asia Pacific Neural Network Soc, Russian Neural Networks Soc
dc.identifier.doi10.1007/978-3-319-40663-3_14
dc.identifier.endpage123
dc.identifier.isbn978-3-319-40663-3
dc.identifier.isbn978-3-319-40662-6
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.scopus2-s2.0-84978818512
dc.identifier.scopusqualityQ3
dc.identifier.startpage115
dc.identifier.urihttps://doi.org/10.1007/978-3-319-40663-3_14
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6086
dc.identifier.volume9719
dc.identifier.wosWOS:000386324900014
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorKaya, Heysem
dc.language.isoen
dc.publisherSpringer International Publishing Ag
dc.relation.ispartofAdvances in Neural Networks - Isnn 2016
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAcoustic emotion recognition
dc.subjectSpeech emotion recognition
dc.subjectCascaded normalization
dc.subjectExtreme learning machines
dc.subjectELM
dc.subjectCognitive Load
dc.titleRobust Acoustic Emotion Recognition Based on Cascaded Normalization and Extreme Learning Machines
dc.typeConference Object

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