Revive is a 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 and custom projection surfaces with
multichannel 3D audio. The project explores 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 contents of
sonic and visual agents change as the performance unfolds.
REVIVE explores the affordances of live interaction between the artificial musical agent MASOM, human electronic musicians, and visual generation agents. MASOM is a musical agent, an artificial intelligence(AI) architecture for live performance. A sub-field of MuMe, musical agents are artificial agents that automatize musical creative tasks. Together, the three sonic performers and three visual agents produce a live performance of experimental electronic music, electroacoustic music, musique concrète, soundscape, noise, and IDM through structured improvisation.
The details of Revive project’s musical AI system can be found here.
REVIVE explores the affordances of live interaction between the artificial musical agent MASOM, human electronic musicians, and visual generation agents. MASOM is a musical agent, an artificial intelligence(AI) architecture for live performance. A sub-field of MuMe, musical agents are artificial agents that automatize musical creative tasks. Together, the three sonic performers and three visual agents produce a live performance of experimental electronic music, electroacoustic music, musique concrète, soundscape, noise, and IDM through structured improvisation.
The details of Revive project’s musical AI system can be found here.
Publications
->Tatar K., Pasquier P., Siu R. (2019) Audio-based Musical
Artificial Intelligence and Audio-Reactive Visual Agents in Revive. In
Proceedings of the joint International Computer Music Conference and New
York City Electroacoustic Music Festival 2019 (ICMC-NYCEMF 2019). http://summit.sfu.ca/item/20439
->Tatar K., Pasquier P., & Siu R. (2018). REVIVE: An Audio-Visual Performance with Musical and Visual Artificial Intelligence Agents. 2018 CHI Conference on Human Factors in Computing Systems, Montreal, QC, Canada ACM 978-1-4503-5621-3/18/04. https://doi.org/10.1145/3170427.3177771
->Tatar K., Pasquier P., & Siu R. (2018). REVIVE: An Audio-Visual Performance with Musical and Visual Artificial Intelligence Agents. 2018 CHI Conference on Human Factors in Computing Systems, Montreal, QC, Canada ACM 978-1-4503-5621-3/18/04. https://doi.org/10.1145/3170427.3177771