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MIREX 2013 TEMPO ESTIMATION SUBMISSION: M4 RHYTHMIC FEATURES

By Chris Baume

Abstract

This extended abstract contains a concise description of a tempo estimator submitted for evaluation. The algorithm works by generating an onset detection curve, thresholding using a moving average, and calculating the autocorrelation. The peaks are found by using a 95th percentile threshold, and the top two tempi are selected as the two largest common divisors of those peaks. 1

Year: 2014
OAI identifier: oai:CiteSeerX.psu:10.1.1.415.8359
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