A New Adaptive Sensor Interface for Composing and Performing Music in Real Time (Contributo in atti di convegno)

Type
Label
  • A New Adaptive Sensor Interface for Composing and Performing Music in Real Time (Contributo in atti di convegno) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Alternative label
  • G. Costantini; M. Todisco; M. Carota; G. Maccioni; D. Giansanti (2007)
    A New Adaptive Sensor Interface for Composing and Performing Music in Real Time
    in 2nd IEEE International Workshop on Advances in Sensors and Interfaces, Bari
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • G. Costantini; M. Todisco; M. Carota; G. Maccioni; D. Giansanti (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Giovanni Costantini 1,3, Massimiliano Todisco 1, Massimo Carota 1, Giovanni Maccioni 2, Daniele Giansanti 2 1 Department of Electronic Engineering, University of Rome \"Tor Vergata\" Via del Politecnico, 1 - 00133 Rome, Italy 2 Technology and Health department, The national Health Institute Viale Regina Elena 299, Rome, Italy 3 Istituto di Acustica \"O. M. Corbino\" Via del Fosso del Cavaliere, 100 - 00133 Roma - Italy (literal)
Titolo
  • A New Adaptive Sensor Interface for Composing and Performing Music in Real Time (literal)
Abstract
  • In this paper, we present an innovative gestural sensor interface that allows an electronic music composer to plan and conduct the musical expressivity of a performer. For musical expressivity we mean all those execution techniques and modalities that a performer has to follow in order to satisfy common musical aesthetics, as well as the desiderata of the composer. The proposed sensor interface is able to transform physical parameters in sound synthesis parameters. It is composed by a gestural transducer, that measure motion acceleration and angular velocity, and a mapping module, that transform few physical measured parameters into a lot of specific sound synthesis parameters. In this work, we focus our attention on mapping strategies based on Neural Network. (literal)
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