Klasi̇k Türk Müzi̇ği̇ İ̇çin Otomati̇k Notaya Dökme Si̇stemi̇
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Green Open Access
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Abstract
This 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.
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05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 0501 psychology and cognitive sciences, 02 engineering and technology
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OpenCitations Citation Count
6
Source
2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
Volume
Issue
Start Page
17
End Page
20
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CrossRef : 3
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Mendeley Readers : 9
SCOPUS™ Citations
6
checked on Jun 12, 2026
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763
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220
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