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Classification of Classic Turkish Music Makams

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dc.contributor.authorKizrak, M. Ayyuce
dc.contributor.authorBayram, K. Sercan
dc.contributor.authorBolat, Bulent
dc.date.accessioned2026-06-27T13:37:46Z
dc.date.issued2014
dc.description.abstractIn this work, Classical Turkish Music songs are classified into six makams. Makam is a modal framework for melodic development in Classical Turkish Music. The effect of the sound clip length on the system performance was also evaluated. The Mel Frequency Cepstral Coefficients (MFCC) were used as features. Obtained data were classified by using Probabilistic Neural Network. The best correct recognition ratio was obtained as 89,4% by using a clip length of 6 s.en
dc.identifier.endpage397
dc.identifier.isbn978-1-4799-3020-3
dc.identifier.startpage394
dc.identifier.urihttps://hdl.handle.net/20.500.14981/53920
dc.identifier.wos000346665300058
dc.language.isoeng
dc.publisherIEEE
dc.relation.conferenceIEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA)
dc.relation.ispartof2014 IEEE INTERNATIONAL SYMPOSIUM ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (INISTA 2014)
dc.subjectMel Frequency Cepstral Coefficients (MFCC)
dc.subjectProbabilistic Neural Network (PNN)
dc.subjectmusical information retrieval
dc.subjectComputer Science
dc.titleClassification of Classic Turkish Music Makams
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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