REVIVE: An Audio-Visual Performance with Musical and Visual Artificial Intelligence Agents
Paper in proceeding, 2018

REVIVE explores the affordances of live interaction between the artificial musical agent MASOM, human electronic musicians, and visual generation agents. The Musical Agent based on Self-Organizing Maps (MASOM) has memorized sound objects and learned how to temporally structure them by listening to large corpora of human-made music. MASOM is then able to improvise live interacting with the other (human) performers by imitating the style of what it reminds it of. For each musician, a corresponding visual agent puts its sound and musical decision into images thus allowing the audience to see who does what. This reveals the musical gestures that are so often lost in electronic music performance. For CHI, MASOM plays with two live performers for a 20 minute audiovisual REVIVE experience.

musical performance

sound and music computing

audiovisual performance

musical agents

artificial intelligence

Author

Kivanc Tatar

Data Science and AI

Philippe Pasquier

Simon Fraser University

Remy Siu

Sunset Visitor

Conference on Human Factors in Computing Systems - Proceedings

1-6
978-1-4503-5621-3 (ISBN)

CHI Conference on Human Factors in Computing Systems
Montreal, Canada,

Subject Categories

Media and Communication Technology

DOI

10.1145/3170427.3177771

More information

Created

2/16/2024