Wavelet ridges for musical instrument classification |
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Authors: | M Erdal ?zbek Nalan ?zkurt F Acar Savac? |
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Affiliation: | (1) Dept. of Electrical and Electronics Engineering, İzmir Institute of Technology, Urla, 35430 İzmir, Turkey;(2) Dept. of Electrical and Electronics Engineering, Dokuz Eyl?l University, Buca, 35160 İzmir, Turkey |
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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. |
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