Finding Music in Music Data: A Summary of the DaCaRyH ProjectShow others and affiliations
2019 (English)In: Computational phonogram archiving / [ed] Bader, R, Springer Nature , 2019, Vol. 5, p. 191-205Conference paper, Published paper (Refereed)
Abstract [en]
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.
Place, publisher, year, edition, pages
Springer Nature , 2019. Vol. 5, p. 191-205
Series
Current Research in Systematic Musicology, ISSN 2196-6966
National Category
Other Social Sciences
Identifiers
URN: urn:nbn:se:kth:diva-303424DOI: 10.1007/978-3-030-02695-0_9ISI: 000622988600009OAI: oai:DiVA.org:kth-303424DiVA, id: diva2:1604770
Conference
1st International Symposium on Computational Ethnomusicological Archiving (ISCEA), DEC 07-10, 2017, Univ Hamburg, Inst Systemat Musicol, Hamburg, GERMANY
Note
QC 20211021
Conference ISBN 978-3-030-02695-0 ; 978-3-030-02694-3
2021-10-212021-10-212022-06-25Bibliographically approved