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Title: Skewed alpha-stable distributions for modeling and classification of musical instruments
Authors: Özbek, Mehmet Erdal
Çek, Mehmet Emre
Savacı, Ferit Acar
Keywords: Generalized Gaussian density
Musical instrument classification
Skewed alpha-stable distribution
Support vector machine
Wavelet coefficients
Issue Date: 2012
Publisher: Türkiye Klinikleri Journal of Medical Sciences
Source: Özbek, M. E., Çek, M. E. and Savacı, F. A. (2012). Skewed alpha-stable distributions for modeling and classification of musical instruments. Turkish Journal of Electrical Engineering and Computer Sciences, 20(6), 934-947.doi:10.3906/elk-1102-1031
Abstract: Music information retrieval and particularly musical instrument classification has become a very popular research area for the last few decades. Although in the literature many feature sets have been proposed to represent the musical instrument sounds, there is still need to find a superior feature set to achieve better classification performance. In this paper, we propose to use the parameters of skewed alpha-stable distribution of sub-band wavelet coefficients of musical sounds as features and show the effectiveness of this new feature set for musical instrument classification. We compare the classification performance with the features constructed from the parameters of generalized Gaussian density and some of the state-of-the-art features using support vector machine classifiers.
ISSN: 1300-0632
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
TR Dizin İndeksli Yayınlar / TR Dizin Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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