Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/4818
Title: Wavelet ridges for musical instrument classification
Authors: Özbek, Mehmet Erdal
Özkurt, Nalan
Savacı, Ferit Acar
Keywords: Instruments
Musical instrument classification
Support vector machines
Wavelet ridge
Issue Date: Feb-2012
Publisher: Springer Verlag
Source: Özbek, M. E., Özkurt, N., and Savacı, F. A. (2012). Wavelet ridges for musical instrument classification. Journal of Intelligent Information Systems, 38(1), 241-256. doi:10.1007/s10844-011-0152-9
Abstract: The time-varying frequency structure of musical signals have been analyzed using wavelets by either extracting the instantaneous frequency of signals or building features from the energies of sub-band coefficients. We propose to benefit from a combination of these two approaches and use the time-frequency domain energy localization curves, called as wavelet ridges, in order to build features for classification of musical instrument sounds. We evaluated the representative capability of our feature in different musical instrument classification problems using support vector machine classifiers. The comparison with the features based on parameterizing the wavelet sub-band energies confirmed the effectiveness of the proposed feature. © 2011 Springer Science+Business Media, LLC.
URI: http://doi.org/10.1007/s10844-011-0152-9
http://hdl.handle.net/11147/4818
ISSN: 0925-9902
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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