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An automatic transcription system for Turkish music

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3 Author(s)
Barış Bozkurt ; Elektrik ve Elektronik Mühendisliği Bölümü, İzmir Yüksek Teknoloji Enstitüsü, Turkey ; Ali Cenk Gedik ; M. Kemal Karaosmanoğlu

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.

Published in:

2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU)

Date of Conference:

20-22 April 2011