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

Peer reviewed: 
Yes, item is peer reviewed.
Scholarly level: 
Faculty/Staff
Final version 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).

Date created: 
2019-06-16
Keywords: 
New media
Artificial intelligence
Performance arts
Musical agents
Intelligent systems
Computer-assisted creativity
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.

Language: 
English
Document type: 
Article
Rights: 
Rights remain with the authors.
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