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ISMIR
2005
Springer

Beatbox Classification Using ACE

12 years 7 months ago
Beatbox Classification Using ACE
This paper describes the use of the Autonomous Classification Engine (ACE) to classify beatboxing (vocal percussion) sounds. A set of unvoiced percussion sounds belonging to five classes (bass drum, open hihat, closed hihat and two types of snare drum) were recorded and manually segmented. ACE was used to compare various classification techniques, both with and without feature selection. The best result was 95.55% accuracy using AdaBoost with C4.5 decision tress.
Elliot Sinyor, Cory McKay, Rebecca Fiebrink, Danie
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ISMIR
Authors Elliot Sinyor, Cory McKay, Rebecca Fiebrink, Daniel McEnnis, Ichiro Fujinaga
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