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A symbolic dataset of Turkish makam music phrases
KTH, School of Computer Science and Communication (CSC), Media Technology and Interaction Design, MID. (Sound and Music Computing)ORCID iD: 0000-0003-1679-6018
2014 (English)In: Proceedings of the 4th International Workshop on Folk Music Analysis, 2014, 10-14 p.Conference paper (Refereed)
Abstract [en]

One of the basic needs for computational studies of traditional music is the availability of free datasets. This study presents a large machine-readable dataset of Turkish makam music scores segmented into phrases by experts of this music. The segmentation facilitates computational research on melodic similarity between phrases, and relation between melodic phrasing and meter, rarely studied topics due to unavailability of data resources.

Place, publisher, year, edition, pages
2014. 10-14 p.
National Category
Media Engineering
Identifiers
URN: urn:nbn:se:kth:diva-193769OAI: oai:DiVA.org:kth-193769DiVA: diva2:1040349
Conference
4th International Workshop on Folk Music Analysis
Note

QC 20161101

Available from: 2016-10-27 Created: 2016-10-10 Last updated: 2016-11-17Bibliographically approved

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Holzapfel, André
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