Wavelet ridges for musical instrument classification

  • Authors:

  • M. Erdal Özbek;Nalan Özkurt;F. Acar Savacı

  • Affiliations:

  • Dept. of Electrical and Electronics Engineering, İzmir Institute of Technology, İzmir, Turkey 35430;Dept. of Electrical and Electronics Engineering, Dokuz Eylül University, İzmir, Turkey 35160;Dept. of Electrical and Electronics Engineering, İzmir Institute of Technology, İzmir, Turkey 35430

  • Venue:
  • Journal of Intelligent Information Systems
  • Year:
  • 2012

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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.