MnM: a Max/MSP mapping toolbox

Autor: Frédéric Bevilacqua, Rémy Muller, Norbert Schnell
Přispěvatelé: Equipe Interactions musicales temps-réel, Sciences et Technologies de la Musique et du Son (STMS), Institut de Recherche et Coordination Acoustique/Musique (IRCAM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche et Coordination Acoustique/Musique (IRCAM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Equipe Autre (hors R&D)
Jazyk: angličtina
Rok vydání: 2005
Předmět:
Zdroj: New Interfaces for Musical Expression
New Interfaces for Musical Expression, May 2005, Vancouver, France. pp.85-88
HAL
Popis: cote interne IRCAM: Bevilacqua05a; None / None; National audience; 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. 2. RELATED WORKS Mapping strategies have been reviewed in recent papers and we refer the reader to references [1] and [2] for a comprehensive overview. Van Nort et al. [9] give a mathematical formulation of mapping
Databáze: OpenAIRE