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Automatic melodic segmentation of Turkish makam music scores [Türk makam müzi?i notalari için otomatik ezgi bölütleme]

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info:eu-repo/semantics/closedAccess

Date

2014

Author

Bozkurt, B.
Karaosmanoglu, M.K.
Karacali, B.
Unal, E.

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Abstract

Automatic melodic segmentation is one of the important steps in computational analysis of melodic content from symbolic data. This widely studied research problem has been very rarely considered for Turkish makam music. In this paper we first present test results for state-of-the-art techniques from literature on Turkish makam music data. Then, we present a statistical classification-based segmentation system that exploits the link between makam melodies and usul and makam scale hierarchies together with the well-known features in literature. We show through tests on a large dataset that the proposed system has a higher accuracy. © 2014 IEEE.

Source

2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings

URI

https://doi.org/10.1109/SIU.2014.6830262
https://hdl.handle.net/11147/9825

Collections

  • Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection [4673]



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