Comunicació presentada al 6th International Workshop on Folk Music Analysis, celebrat els dies 15 a 17 de juny de 2016 a Dublín, Irlanda.Comunicació presentada al 6th International Workshop on Folk Music Analysis, celebrat els dies 15 a 17 de juny de 2016 a Dublín, Irlanda.

From a computational perspective, structural analysis of OttomanTurkish 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.

This work is partly supported by the European Research Council under the European Union’s Seventh Framework Program, as part of the CompMusic project (ERC grant agreement 267583).