Work

Probabilistic Models For Designing Motion And Sound Relationships

Year: 2014

Type: article

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.

DOI: 10.5281/zenodo.1178763

Authors: Françoise, Jules, Schnell, Norbert, Borghesi, Riccardo, Bevilacqua, Frédéric

Language: English

Topic: Music Technology and Sound Studies

Subfield: Music

Field: Arts and Humanities

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W2248907644

FWCI: 100.8

Cites: 16

Cited by: 43

Related to: 10