Finding music in music data: a summary of the DaCaRyH Project

Oded Ben-Tal; Bob L. Sturm; Elio Quinton; Josephine Simonnot; Aurelie Helmlinger

doi:10.1007/978-3-030-02695-0_9

Finding music in music data: a summary of the DaCaRyH Project

Oded Ben-Tal, Bob L. Sturm, Elio Quinton, Josephine Simonnot, Aurelie Helmlinger

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Abstract

The international research project, ‟Data science for the study of calypso-rhythm through history” (DaCaRyH), involved a collaboration between ethnomusicologists, computer scientists, and a composer. The primary aim of DaCaRyH was to explore how ethnomusicology could inform data science, and vice versa. Its secondary aim focused on creative applications of the results. This article summarises the results of the project, and more broadly discusses the benefits and challenges in such interdisciplinary research. It concludes with suggestions for reducing the barriers to similar work.

Original language	English
Title of host publication	Computational phonogram archiving
Editors	Rolf Bader
Place of Publication	Cham, Switzerland
Publisher	Springer Nature
Pages	191-206
ISBN (Print)	9783030026943
DOIs	https://doi.org/10.1007/978-3-030-02695-0_9
Publication status	Published - 2019

Publication series

Name	Current Research in Systematic Musicology
Publisher	Springer Nature
Number	5
ISSN (Print)	2196-6966
ISSN (Electronic)	2196-6974

Keywords

Music

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Ben-Tal-O-41835-AAMAccepted author manuscript, 148 KBLicence: Unspecified

https://doi.org/10.1007/978-3-030-02695-0_9

Cite this

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Finding music in music data: a summary of the DaCaRyH Project

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