Metadata for Audio 25th International AES Conference 17th to 19th June 2004 London UK
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Metadata for Audio

Poster CD2-1

Low Complexity Musical Meter Estimation from Polyphonic Music

Christian Uhle1, Jan Rohden1, Markus Cremer1, Jürgen Herre2
1Fraunhofer AEMT, Erlangen, Germany
2Fraunhofer IIS, Ilmenau, Germany

This paper 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 in a range between 0.25 Hz and 10 Hz. The tatum period, beat period, and measure length are estimated in a probabilistic manner from the periodicity function. The special advantages of the presented method reside in the ability to track tempo also in music with strong syncopated rhythms, and its computational efficiency.

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