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Wednesday, July 2 • 15:30 - 16:41
Probabilistic Models for Designing Motion and Sound Relationships

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Probabilistic Models for Designing Motion and Sound Relationships
Jules Françoise, Norbert Schnell, Riccardo Borghesi, Frédéric Bevilacqua
IRCAM,

Long Paper

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.


Wednesday July 2, 2014 15:30 - 16:41
New Academic Building: LG02

Attendees (15)