Florian Krebs, Gerhard Widmer,
"MIREX 2012 Audio Beat Tracking Evaluation: Beat.E"
: Proceedings of the 13th International Society for Music Information, 2012
MIREX 2012 Audio Beat Tracking Evaluation: Beat.E
Sprache des Titels:
Proceedings of the 13th International Society for Music Information
In this paper, we present a Hidden Markov Model (HMM)
based beat tracking system that simultaneously extracts
downbeats, beat times, tempo, meter and rhythmic patterns.
Our model builds upon the basic structure proposed
by Whiteley et. al , which we further modified by introducing
a new observation model: rhythmic patterns are
learned directly from data, which makes the model adaptable
to the rhythmical structure of any kind of music. The
MIREX beat tracking evaluation - 30 results using ten measures
and three datasets - placed our algorithm among the
top three performing algorithms thirteen times and always
inside the top ten.