Incorporating scale information with cepstral features: Experiments on musical instrument recognition

  • Authors:

  • Marcela Morvidone;Bob L. Sturm;Laurent Daudet

  • Affiliations:

  • Laboratoire de Physique Théorique et Modélisation, Université de Cergy-Pontoise, Site de Saint-Martin, Pontoise, 2 Av. Adolphe Chauvin, 95302 Cergy-Pontoise, France and Institut Jea ...;Institut Jean Le Rond d'Alembert (IJLRA), íquipe Lutheries, Acoustique, Musique (LAM), Université Pierre et Marie Curie (UPMC) - Paris 6, UMR 7910, 11, rue de Lourmel, 75015 Paris, Franc ...;Institut Langevin (LOA), Université Paris Diderot - Paris 7, UMR 7587, 10, rue Vauquelin, 75231 Paris, France

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2010

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Abstract

We present two sets of novel features that combine multiscale representations of signals with the compact timbral description of Mel-frequency cepstral coefficients (MFCCs). We define one set of features, OverCs, from overcomplete transforms at multiple scales. We define the second set of features, SparCs, from a signal model found by sparse approximation. We compare the descriptiveness of our features against that of MFCCs by performing two simple tasks: pairwise musical instrument discrimination, and musical instrument classification. Our tests show that both OverCs and SparCs improve the characterization of the global timbre and local stationarity of an audio signal than do mean MFCCs with respect to these tasks.