Ben-Tal, Oded, Sturm, Bob L., Quinton, Elio, Simonnot, Josephine and Helmlinger, Aurelie (2019) Finding music in music data : a summary of the DaCaRyH Project. In: Bader, Rolf, (ed.) Computational phonogram archiving. Cham, Switzerland : Springer Nature. pp. 191-206. (Current Research in Systematic Musicology, (5)) ISSN (print) 2196-6966 ISBN 9783030026943

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.

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Official URL:	https://doi.org/10.1007/978-3-030-02695-0_9
Item Type:	Book Section
Research Area:	Research Areas > Music
Faculty, School or Research Centre:	Faculty of Arts and Social Sciences Faculty of Arts and Social Sciences > School of Arts, Culture and Communication Kingston School of Art
Series Name:	Current Research in Systematic Musicology
Date Deposited:	11 Feb 2020 12:05
Last Modified:	20 Sep 2022 13:57
DOI:	https://doi.org/10.1007/978-3-030-02695-0_9
URI:	https://eprints.kingston.ac.uk/id/eprint/41835

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