MnM: a Max/MSP mapping toolbox

  • Authors:
  • Frédéric Bevilacqua;Rémy Müller;Norbert Schnell

  • Affiliations:
  • Real Time Applications Team, Paris, France;Real Time Applications Team, Paris, France;Real Time Applications Team, Paris, France

  • Venue:
  • NIME '05 Proceedings of the 2005 conference on New interfaces for musical expression
  • Year:
  • 2005

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Abstract

In this report, we describe our development on the Max/MSP toolbox MnM dedicated to mapping between gesture and sound, and more generally to statistical and machine learning methods. This library is built on top of the FTM library, which enables the efficient use of matrices and other data structures in Max/MSP. Mapping examples are described based on various matrix manipulations such as Single Value Decomposition. The FTM and MnM libraries are freely available.