Particle Filtering Applied to Musical Tempo Tracking
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Unknown author (2004). Particle Filtering Applied to Musical Tempo Tracking.
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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.
This record's URL: http://www.dspace.cam.ac.uk/handle/1810/240505
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