Most music compositions evolve according to an underlying unit of time, sometimes implied and sometimes audible, called the beat. Beat trackers are essential components of rhythmic analysis systems in a wide range of applications involving musical information extraction. The authors describe a new methodology for tracking the sequence of beat instants given the ODF (Onset Detection Function) and the IBI (Inter Beat Interval) estimate. This alternate solution is based on a divide-and-conquer strategy that concurrently manages a multitude of simpler trackers from a rule-based perspective, effectively performing the search only for the most promising beat candidates. As confirmed by the experimental results, the performance of this method improves when the number of simple trackers (paths) is increased. Compared to dynamic programming, this approach is preferable in terms of computational efficiency while yielding accuracy scores that are comparable with many known beat trackers.

Authors: Giorgi, Bruno Di; Zanoni, Massimiliano; Böck, Sebastian; Sarti, Augusto
Affiliations: Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy; Department of Computational Perception, Johannes Kepler University, Linz, Österreich, Austria(See document for exact affiliation information.)
JAES Volume 64 Issue 7/8 pp. 493-502; July 2016
Publication Date: August 11, 2016 Import into BibTeX
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=18335

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E-Library Location: (CD JAES64)   /jaes64/7/pg493.pdf

DOI: https://doi.org/10.17743/jaes.2016.0025

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