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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Musical Instruments in Random Forest
verfasst von : Miron Kursa, Witold Rudnicki, Alicja Wieczorkowska, Elżbieta Kubera, Agnieszka Kubik-Komar
Erschienen in: Foundations of Intelligent Systems
Verlag: Springer Berlin Heidelberg
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This paper describes automatic classification of predominant musical instrument in sound mixes, using random forests as classifiers. The description of sound parameterization applied and methodology of random forest classification are given in the paper. Additionally, the significance of sound parameters used as conditional attributes is investigated. The results show that almost all sound attributes are informative, and random forest technique yields much higher classification results than support vector machines, used in previous research on these data.