Grab-and-play

Hugo Scurto, Rebecca Fiebrink, 2016
software, Java, supervised learning

A Wekinator extension for rapid prototyping of motion-sound mappings. A person demonstrates how they might move using their input device. Supervised learning then generates a diversity of sonic mappings that matches the person’s motion range. Grab-and-play contributed to the Sound Control action research project, as well as to a music performance of yug.

Designed in collaboration with a music therapist.

Year
2016

Credits
The project was developed with Rebecca Fiebrink in collaboration with the Department of Computing of Goldsmiths University of London, in the context of the pre-doctoral research program of ENS Paris-Saclay.

Publications
Paper at ICMC (2016)
Pre-doctoral report (2016)

Events
Outreach @ BBC Radio 1 Academy, Exeter Phoenix, Exeter, UK (May.17.2016)

Code
GitHub

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Hugo Scurto, Rebecca Fiebrink, 2016 software, Java, supervised learning

Designed in collaboration with a music therapist.

Year 2016

Credits The project was developed with Rebecca Fiebrink in collaboration with the Department of Computing of Goldsmiths University of London, in the context of the pre-doctoral research program of ENS Paris-Saclay.

Publications Paper at ICMC (2016) Pre-doctoral report (2016)

Events Outreach @ BBC Radio 1 Academy, Exeter Phoenix, Exeter, UK (May.17.2016)

Code GitHub