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

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, no. 5) ISSN (print) 2196-6966 ISBN 9783030026943

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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.

Item Type: Book Section
Research Area: Music
Faculty, School or Research Centre: Faculty of Arts and Social Sciences > School of Arts, Culture and Communication
Kingston School of Art
Faculty of Arts and Social Sciences
Depositing User: Oded Ben-Tal
Date Deposited: 11 Feb 2020 12:05
Last Modified: 11 Feb 2020 12:05
DOI: https://doi.org/10.1007/978-3-030-02695-0_9
URI: http://eprints.kingston.ac.uk/id/eprint/41835

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