DocumentCode :
714555
Title :
Automatic tonic identification method for Turkish makam music
Author :
Atli, Hasan Sercan ; Bozkurt, Baris
Author_Institution :
Ses Teknolojileri Bolumu, Bahcesehir Univ., Istanbul, Turkey
fYear :
2015
fDate :
16-19 May 2015
Firstpage :
1570
Lastpage :
1573
Abstract :
Tonic is a fundamental concept in makam. As in many world music cultures, tonic frequency varies among performances. Because of this, correct estimation of tonic frequency is important for other computational research problems like tuning analysis, audio-score alignment, automatic transcription etc. In this work, we present a new methodology for automatic tonic estimation of Turkish makam music recordings. New methodology bases on the frequency estimation of the last note in a performance.
Keywords :
audio signal processing; music; Turkish makam music recording; audio-score alignment; automatic tonic identification method; automatic transcription; computational research problem; music cultures; tonic frequency estimation; tuning analysis; Estimation; Frequency estimation; Histograms; Multiple signal classification; Music information retrieval; Tuning; Turkish makam music; audio signal processing; music information retrieval; tonic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
Type :
conf
DOI :
10.1109/SIU.2015.7130148
Filename :
7130148
Link To Document :
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