Anger recognition in Turkish speech using acoustic information

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dc.authorscopusid43261861500
dc.authorscopusid7006442384
dc.contributor.authorOflazoglu, Ça?lar
dc.contributor.authorYildirim, Serdar
dc.date.accessioned2024-09-19T15:41:14Z
dc.date.available2024-09-19T15:41:14Z
dc.date.issued2012
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description2012 20th Signal Processing and Communications Applications Conference, SIU 2012 -- 18 April 2012 through 20 April 2012 -- Fethiye, Mugla -- 90786en_US
dc.description.abstractAn emerging trend in human-computer interaction technology is to design spoken interfaces that facilitate more natural interaction between a user and a computer. Being able to detect the user's affective state during interaction is one of the key steps toward implementing such interfaces. In this study, anger recognition from Turkish speech using acoustic information is explored. The relative importance of acoustic feature categories in anger recognition is examined. Results show that logarithmic power of Mel-frequency bands, mel frequency cepstral coefficients and perceptual linear predictive coefficients are relatively more important than other acoustic categories in the context of anger recognition. Results also show that unweighted recall of 75.8% is obtained when correlation based feature selection method and Naive Bayes classifier are used. © 2012 IEEE.en_US
dc.identifier.doi10.1109/SIU.2012.6204652
dc.identifier.isbn978-146730056-8
dc.identifier.scopus2-s2.0-84863444825en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2012.6204652
dc.identifier.urihttps://hdl.handle.net/20.500.12483/14103
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.relation.ispartof2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFrequency bandsen_US
dc.subjectInformation useen_US
dc.subjectInterface statesen_US
dc.subjectSignal processingen_US
dc.subjectAcoustic featuresen_US
dc.subjectAcoustic informationen_US
dc.subjectAffective stateen_US
dc.subjectEmerging trendsen_US
dc.subjectFeature selection methodsen_US
dc.subjectLinear predictive coefficientsen_US
dc.subjectMel-frequency cepstral coefficientsen_US
dc.subjectNaive Bayes classifiersen_US
dc.subjectNatural interactionsen_US
dc.subjectTurkishsen_US
dc.subjectSpeech recognitionen_US
dc.titleAnger recognition in Turkish speech using acoustic informationen_US
dc.title.alternativeTürkçe konuşmada kizgin duygunun akusti?k bi?lgi? kullanarak taninmasien_US
dc.typeConference Objecten_US

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