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Audio-based Musical Artificial Intelligence and Audio-Reactive Visual Agents in Revive

Resource type
Date created
2019-06-16
Authors/Contributors
Author: Siu, Remy
Abstract
Revive is an live audio-visual performance project that brings together a musical artificial intelligence architecture, human electronic musicians, and audio-reactive visual agents in a complex multimedia environment of a dome view with multichannel 3D audio. The context of the project is live audio-visual performance of experimental electronic music through structured improvisation. Revive applies structured improvisation using cues and automatized parameter changes within these cues. Performers have different roles within the musical structures initiated by the cues. These roles change as the performance temporally evolves. Sonic actions of performers are further emphasized by audio-reactive visual agents. The behaviours and 1contents of sonic and visual agents change as the performance unfolds.
Document
Published as
Tatar K., Pasquier P., Siu R. (2019). Audio-based Musical Artificial Intelligence and Audio-Reactive Visual Agents in Revive. In Proceedings of the International Computer Music Conference and New York City Electroacoustic Music Festival 2019 (ICMC-NYCEMF 2019).
Document title
Audio-based Musical Artificial Intelligence and Audio-Reactive Visual Agents in Revive
Date
2019
Copyright statement
Copyright is held by the author(s).
Scholarly level
Peer reviewed?
Yes
Language
English
Member of collection

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