This publication addresses the automated extraction of musical meter from audio signals on three hierarchical levels, namely tempo, tatum, and measure length. The presented approach analyzes consecutive segments of the audio signal equivalent to a few seconds length each, and detects periodicities in the temporal progression of the amplitude envelope. The tatum period, beat period, and measure length are estimated in a probabilistic manner from the periodicity function. An estimate of the time signature is obtained by applying musical knowledge. The advantages of the presented method reside in the ability to track tempo also in music with syncopated rhythms, and its computational efficiency.
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