Autopia: An AI collaborator for live networked computer music performance

Lorway, Norah ORCID: https://orcid.org/0000-0001-8179-6255, Powley, Edward ORCID: https://orcid.org/0000-0002-7317-7304 and Wilson, Arthur (2021) Autopia: An AI collaborator for live networked computer music performance. In: 2nd Conference on AI Music Creativity (MuMe + CSMC), July 18-22 2021, Institute of Electronic Music and Acoustics (IEM) of the University of Music and Performing Arts of Graz, Austria.

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Abstract / Summary

This paper describes an AI system, Autopia, designed to participate in collaborative live coding music performances using the Utopia software tool for SuperCollider. This form of human-AI collaboration allows us to explore the implications of mixed-initiative computational creativity from the perspective of live coding. As well as collaboration with human performers, one of our motivations with Autopia is to explore audience collaboration through a gamified mode of interaction, namely voting through a web-based interface accessed by the audience on their smartphones. The results of this are often emergent, chaotic, and surprising to performers and audience alike.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Computing & Data Science Performing Arts > Music & Sound
Courses by Department:	Academy of Music & Theatre Arts
Depositing User:	Norah Lorway
Date Deposited:	06 Oct 2021 13:21
Last Modified:	18 Nov 2024 14:24
URI:	https://repository.falmouth.ac.uk/id/eprint/4307

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