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dc.contributor.authorBozkurt, B.
dc.contributor.authorKaraosmanoglu, M.K.
dc.contributor.authorKaracali, B.
dc.contributor.authorUnal, E.
dc.date.accessioned2021-02-12T18:43:54Z
dc.date.available2021-02-12T18:43:54Z
dc.date.issued2014
dc.identifier.isbn9781479948741
dc.identifier.urihttps://doi.org/10.1109/SIU.2014.6830262
dc.identifier.urihttps://hdl.handle.net/11147/9825
dc.description2014 22nd Signal Processing and Communications Applications Conference, SIU 2014en_US
dc.description.abstractAutomatic melodic segmentation is one of the important steps in computational analysis of melodic content from symbolic data. This widely studied research problem has been very rarely considered for Turkish makam music. In this paper we first present test results for state-of-the-art techniques from literature on Turkish makam music data. Then, we present a statistical classification-based segmentation system that exploits the link between makam melodies and usul and makam scale hierarchies together with the well-known features in literature. We show through tests on a large dataset that the proposed system has a higher accuracy. © 2014 IEEE.en_US
dc.language.isoturen_US
dc.publisherIEEE Computer Societyen_US
dc.relation.isversionof10.1109/SIU.2014.6830262en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectmakam musicen_US
dc.subjectmelodic analysisen_US
dc.titleAutomatic melodic segmentation of Turkish makam music scores [Türk makam müzi?i notalari için otomatik ezgi bölütleme]en_US
dc.typeconferenceObjecten_US
dc.typeconferenceObjecten_US
dc.relation.journal2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedingsen_US
dc.contributor.departmentIzmir Isntitute of Technologyen_US
dc.identifier.startpage449en_US
dc.identifier.endpage452en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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