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A generalized Bayesian model for tracking long metrical cycles in acoustic music signals
KTH, School of Computer Science and Communication (CSC), Media Technology and Interaction Design, MID. (Sound and Music Computing)ORCID iD: 0000-0003-1679-6018
2016 (English)In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2016, Institute of Electrical and Electronics Engineers (IEEE), 2016, 76-80 p., 7471640Conference paper, Published paper (Refereed)
Abstract [en]

Most musical phenomena involve repetitive structures that enable listeners to track meter, i.e. The tactus or beat, the longer over-arching measure or bar, and possibly other related layers. Meters with long measure duration, sometimes lasting more than a minute, occur in many music cultures, e.g. from India, Turkey, and Korea. However, current meter tracking algorithms, which were devised for cycles of a few seconds length, cannot process such structures accurately. We present a novel generalization to an existing Bayesian model for meter tracking that overcomes this limitation. The proposed model is evaluated on a set of Indian Hindustani music recordings, and we document significant performance increase over the previous models. The presented model opens the way for computational analysis of performances with long metrical cycles, and has important applications in music studies as well as in commercial applications that involve such musics.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. 76-80 p., 7471640
Series
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, ISSN 1520-6149 ; 2016
Keyword [en]
Bayesian models, Hindustani music, Meter tracking, Particle filters, Rhythm analysis
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:kth:diva-193775DOI: 10.1109/ICASSP.2016.7471640Scopus ID: 2-s2.0-84973358754ISBN: 978-147999988-0 (print)OAI: oai:DiVA.org:kth-193775DiVA: diva2:1033968
Conference
41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai International Convention Center Shanghai, China, 20 March 2016 through 25 March 2016.
Note

QC 20161011

Available from: 2016-10-10 Created: 2016-10-10 Last updated: 2016-12-28Bibliographically approved

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fulltext(268 kB)12 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf