Autopia: An AI Collaborator for Live Coding Music Performances

Lorway, Norah ORCID logoORCID: https://orcid.org/0000-0001-8179-6255, Powley, Edward ORCID logoORCID: https://orcid.org/0000-0002-7317-7304, Wilson, Arthur, Speakman, John A. and Jarvis, Matthew (2019) Autopia: An AI Collaborator for Live Coding Music Performances. In: International Conference on Live Coding, 5-7 February 2020, University of Limerick, Ireland.

[img]
Preview
Text
ICLC2020_Lorway.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial.

Download (333kB) | Preview

Abstract / Summary

Live coding is “the activity of writing (parts of) a program while it runs” (Ward et al., 2004). One significant application of live coding is in algorithmic music, where the performer modifies the code generating the music in a live context. Utopia is a software tool for collaborative live coding performances, allowing several performers (each with their own laptop producing its own sound) to communicate and share code during a performance. We have made an AI bot, Autopia, which can participate in such performances, communicating with human performers through Utopia. This form of human-AI collaboration allows us to explore the implications of computational creativity from the perspective of live coding.

Item Type: Conference or Workshop Item (Poster)
Subjects: Computer Science, Information & General Works
Music > Digital Music
Music
Music > Sound Art
Music > Sound Design
Courses by Department: Academy of Music & Theatre Arts > Music
Depositing User: Norah Lorway
Date Deposited: 29 Nov 2019 14:26
Last Modified: 11 Nov 2022 16:24
URI: https://repository.falmouth.ac.uk/id/eprint/3770

Actions

View Item View Item (login required)