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dc.contributor.authorBozkurt, B.
dc.contributor.authorGedik, A.C.
dc.contributor.authorKemal Karaosmano?lu, M.
dc.date.accessioned2021-02-12T18:43:52Z
dc.date.available2021-02-12T18:43:52Z
dc.date.issued2011
dc.identifier.isbn9781457704635
dc.identifier.urihttps://doi.org/10.1109/SIU.2011.5929577
dc.identifier.urihttps://hdl.handle.net/11147/9802
dc.description2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011en_US
dc.description.abstractThis study presents an automatic transcription system for Turkish music for the first time in literature. We first discuss the characteristics of Turkish music that are taken into consideration in the design of the system. Then, the following signal processing components of the system are described briefly in relation to each other and explaining their function in the system: f0 estimation, automatic tonic detection and makam recognition based on pitch distributions, frequency and duration quantization. © 2011 IEEE.en_US
dc.language.isoturen_US
dc.relation.isversionof10.1109/SIU.2011.5929577en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleAn automatic transcription system for Turkish music [Klasi?k Türk müzi?gi? i?çn otomati?k notaya dökme si?stemi?]en_US
dc.typeconferenceObjecten_US
dc.typeconferenceObjecten_US
dc.relation.journal2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011en_US
dc.contributor.departmentIzmir Isntitute of Technologyen_US
dc.identifier.startpage17en_US
dc.identifier.endpage20en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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