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Classification of Classic Turkish Music Makams by Using Deep Belief Networks

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dc.contributor.authorKizrak, Merve Ayyuce
dc.contributor.authorBolat, Bulent
dc.date.accessioned2026-06-27T13:54:40Z
dc.date.issued2015
dc.description.abstractThrough this work, six most known Classic Turkish Music Makams (CTM) were classified by using Deep Belief Networks (DBN). The Mel and delta-Mel Frequency Cepstral Coefficients (MFCC) were used as features. The best correct recognition ratio was obtained as 92.70% by using Deep Belief Networks and Mel frequency epstral coefficients. This result is better than the recent works reported in the literature.en
dc.identifier.endpage530
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.startpage527
dc.identifier.urihttps://hdl.handle.net/20.500.14981/55594
dc.identifier.wos000380500900110
dc.language.isotur
dc.publisherIEEE
dc.relation.conference23nd Signal Processing and Communications Applications Conference (SIU)
dc.relation.ispartof2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)
dc.subjectMusic Information Retrieval
dc.subjectClassic Turkish Music
dc.subjectMel Frequency Cepstral Coefficients
dc.subjectDeep Belief Networks
dc.subjectEngineering
dc.subjectTelecommunications
dc.titleClassification of Classic Turkish Music Makams by Using Deep Belief Networks
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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