Metadata for Audio
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Poster CD2-1
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Low Complexity Musical Meter Estimation from
Polyphonic Music
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Christian Uhle1, Jan Rohden1,
Markus Cremer1, J�rgen Herre2
1Fraunhofer AEMT, Erlangen, Germany
2Fraunhofer IIS, Ilmenau, Germany
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| 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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