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Particle Filtering Applied to Musical Tempo Tracking


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.

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Correspondence to Stephen W. Hainsworth.

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Hainsworth, S.W., Macleod, M.D. Particle Filtering Applied to Musical Tempo Tracking. EURASIP J. Adv. Signal Process. 2004, 927847 (2004).

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