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Evaluation and Recommendation of Pulse and Tempo Annotation in Ethnic Music
KTH, School of Computer Science and Communication (CSC), Media Technology and Interaction Design, MID. (Sound and Music Computing)ORCID iD: 0000-0003-1679-6018
2013 (English)In: Journal for New Music Research, ISSN 0929-8215, Vol. 42, no 2, 131-149 p.Article in journal (Refereed) Published
Abstract [en]

Large digital archives of ethnic music require automatic tools to provide musical content descriptions. While various automatic approaches are available, they are to a wide extent developed for Western popular music. This paper aims to analyse how automated tempo estimation approaches perform in the context of Central-African music. To this end we collect human beat annotations for a set of musical fragments, and compare them with automatic beat tracking sequences. We first analyse the tempo estimations derived from annotations and beat tracking results. Then we examine an approach, based on mutual agreement between automatic and human annotations, to automate such analysis, which can serve to detect musical fragments with high tempo ambiguity.

Place, publisher, year, edition, pages
Taylor & Francis Group, 2013. Vol. 42, no 2, 131-149 p.
Keyword [en]
Rhythm, beat tracking, African music, digital collections
National Category
Musicology Media and Communication Technology
Research subject
Computer Science; Media Technology; Speech and Music Communication
Identifiers
URN: urn:nbn:se:kth:diva-193737DOI: 10.1080/09298215.2013.812123ISI: 000323243600003ScopusID: 2-s2.0-84883522754OAI: oai:DiVA.org:kth-193737DiVA: diva2:1040438
Note

QC 20161031

Available from: 2016-10-27 Created: 2016-10-10 Last updated: 2016-11-14Bibliographically approved

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Holzapfel, André
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