Physical Manifestation of Generative AI Music Systems for Live Performance
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3757369.3767613.pdf
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7.17 MB
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Adobe PDF
Checksum (MD5)
66bfd7020bde3e6baeefe0114a0ae0ec
Author(s)
Naseck, Perry
Blanchard, Lancelot
Lavakare, Madhav
Lecamwasam, Kimaya
Paradiso, Joseph
Date Issued
December 14, 2025
Publisher
ACM|SIGGRAPH Asia 2025 Art Papers
Citation
Perry Naseck, Lancelot Blanchard, Madhav Lavakare, Kimaya Lecamwasam, and Joseph A. Paradiso. 2025. Physical Manifestation of Generative AI Music Systems for Live Performance. In Proceedings of the SIGGRAPH Asia 2025 Art Papers (SA Art Papers '25). Association for Computing Machinery, New York, NY, USA, Article 28, 1–6.
Version
Final published version
Abstract
This paper explores the physical manifestation of generative AI music systems for live performance, focusing on bridging the expressive gap between AI-generated music and audience perception. Through a year-long collaboration with a human performer, we constructed a kinetic sculpture that visualizes the outputs of an AI jam_bot during concerts. The sculpture, powered by ML-based and pattern-driven mapping methodologies, interprets real-time AI musical decisions as expressive movements. Audience feedback indicates increased engagement and curiosity, although interpretability remains a challenge. Our work highlights the potential of embodied visualization to establish communicative presence for AI performers and suggests avenues for future research.
Description
SA Art Papers ’25, Hong Kong, Hong Kong
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1145/3757369.3767613
