Skip to main content
  • Research Article
  • Published:

Particle Filtering Applied to Musical Tempo Tracking

Abstract

This paper explores the use of particle filters for beat tracking in musical audio examples. The aim is to estimate the time-varying tempo process and to find the time locations of beats, as defined by human perception. Two alternative algorithms are presented, one which performs Rao-Blackwellisation to produce an almost deterministic formulation while the second is a formulation which models tempo as a Brownian motion process. The algorithms have been tested on a large and varied database of examples and results are comparable with the current state of the art. The deterministic algorithm gives the better performance of the two algorithms.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Stephen W. Hainsworth.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hainsworth, S.W., Macleod, M.D. Particle Filtering Applied to Musical Tempo Tracking. EURASIP J. Adv. Signal Process. 2004, 927847 (2004). https://doi.org/10.1155/S1110865704408099

Download citation

  • Received:

  • Revised:

  • Published:

  • DOI: https://doi.org/10.1155/S1110865704408099

Keywords and phrases