The DESAM toolbox: spectral analysis of musical audio

Mathieu Lagrange (1) , Roland Badeau (2) , Bertrand David (2) , Nancy Bertin (3) , Jose Echeveste (2) , Olivier Derrien (4) , Sylvain Marchand (5) , Laurent Daudet (6)

1 IRCAM - Institut de Recherche et Coordination Acoustique/Musique
2 LTCI - Laboratoire Traitement et Communication de l'Information
3 METISS - Speech and sound data modeling and processing
4 LMA - Laboratoire de Mécanique et d'Acoustique [Marseille]
5 LaBRI - Laboratoire Bordelais de Recherche en Informatique
6 LOA - Laboratoire Ondes et Acoustique (UMR 7587)

In this paper is presented the DESAM Toolbox, a set of Matlab functions dedicated to the estimation of widely used spectral models for music signals. Although those models can be used in Music Information Retrieval (MIR) tasks, the core functions of the toolbox do not focus on any specific application. It is rather aimed at providing a range of state-of-the-art signal processing tools that decompose music files according to different signal models, giving rise to different ``mid-level'' representations. After motivating the need for such a toolbox, this paper offers an overview of the overall organization of the toolbox, and describes all available functionalities.

Domaines: Son [cs.SD]

Mathieu Lagrange, Roland Badeau, Bertrand David, Nancy Bertin, Jose Echeveste, et al.. The DESAM toolbox: spectral analysis of musical audio. International Conference on Digital Audio Effects (DAFx), Sep 2010, Graz, Austria. pp.254-261. ⟨hal-00523319⟩