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Conference Papers Year : 2014

Probabilistic Models for Designing Motion and Sound Relationships

Abstract

We present a set of probabilistic models that support the design of movement and sound relationships in interactive sonic systems. We focus on a mapping-by-demonstration approach in which the relationships between motion and sound are defined by a machine learning model that learns from a set of user examples. We describe four probabilistic models with complementary characteristics in terms of multimodality and temporality. We illustrate the practical use of each of the four models with a prototype application for sound control built using our Max implementation.
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Dates and versions

hal-01061335 , version 1 (05-09-2014)

Identifiers

  • HAL Id : hal-01061335 , version 1

Cite

Jules Françoise, Norbert Schnell, Riccardo Borghesi, Frédéric Bevilacqua. Probabilistic Models for Designing Motion and Sound Relationships. Proceedings of the 2014 International Conference on New Interfaces for Musical Expression, Jun 2014, London, UK, United Kingdom. pp.287-292. ⟨hal-01061335⟩
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