The DESAM Toolbox: Spectral Analysis of Musical Audio

Mathieu Lagrange; Roland Badeau; Olivier Derrien; Sylvain Marchand; Laurent Daudet; Bertrand David; Nancy Bertin; Jose Echeveste
DAFx-2010 - Graz
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.
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