Audio-based Musical Artificial Intelligence and Audio-Reactive Visual Agents in Revive
Paper i proceeding, 2019

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.

machine learning

sound and music computing

audiovisual performance

musical AI

musical agents

Författare

Kivanc Tatar

Data Science och AI

Philippe Pasquier

Simon Fraser University

Remy Siu

Proceedings of the joint International Computer Music Conference and New York City Electroacoustic Music Festival 2019 (ICMC-NYCEMF 2019)

International Computer Music Conference 2019
New York, USA,

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2024-02-20