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Title: Türk makam müziği notaları için otomatik ezgi bölütleme
Other Titles: Automatic melodic segmentation of Turkish makam music scores
Authors: Bozkurt, Barış
Karaçalı, Bilge
Karaosmanoğlu, M. Kemal
Ünal, Erdem
Keywords: Makam
Melodic analysis
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers Inc.
Series/Report no.: Signal Processing and Communications Applications Conference
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 makant 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.
Description: 22nd IEEE Signal Processing and Communications Applications Conference (SIU)
ISBN: 978-1-4799-4874-1
ISSN: 2165-0608
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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