F. Gouyon, Gerhard Widmer, Simon Dixon,
"Evaluating Low-level Features for Beat Classification and Tracking"
: Proceedings of the 32nd International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2007), 2007
Original Titel:
Evaluating Low-level Features for Beat Classification and Tracking
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 32nd International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2007)
Original Kurzfassung:
In this paper, we address the question of which low-level
acoustical features are the most adequate for identifying music
beats computationally. We consider 172 features computed
on consecutive signal frames and systematically evaluate
their individual value in the task of providing reliable cues
for the presence and localisation of beats in music signals.
We compare two ways of evaluating features: their accuracy
in a song-specific classification task (classifying beats vs nonbeats)
and their performance as a front-end to a beat tracking
system.
Forschungs-