Document Type

Conference Paper

Rights

Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence

Disciplines

Musicology

Publication Details

:6th. International Workshop on Folk Music Analysis, 15-17 June, 2016.

Abstract

From a computational perspective, structural analysis of Ottoman- Turkish makam music (OTMM) is a research topic that has not been addressed thoroughly. In this paper we propose a method, which processes machine-readable music scores of OTMM to extract and semiotically describe the melodic and lyrical organization of the music piece automatically using basic string similarity and graph analysis techniques. The proposed method is used to identify around 50000 phrases in 1300 music scores and 21500 sections in 1770 scores, respectively. The obtained information may be useful for relevant research in music education and musicology, and it has already been used to aid several computational tasks such as music score content validation, digital music engraving and audio-score alignment.

DOI

https://doi.org/10.21427/D76740

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