Composing Interactive Music: Techniques and Ideas Using Max
Composing Interactive Music: Techniques and Ideas Using Max
Artificial Perception and Music Recognition
Artificial Perception and Music Recognition
The embroidered musical ball: a squeezable instrument for expressive performance
CHI '00 Extended Abstracts on Human Factors in Computing Systems
Machine Musicianship
Afasia: the ultimate homeric one-man-multimedia-band
NIME '02 Proceedings of the 2002 conference on New interfaces for musical expression
NIME '04 Proceedings of the 2004 conference on New interfaces for musical expression
Interconnected Musical Networks: Toward a Theoretical Framework
Computer Music Journal
A dancing robot for rhythmic social interaction
Proceedings of the ACM/IEEE international conference on Human-robot interaction
The design of a robotic marimba player: introducing pitch into robotic musicianship
NIME '07 Proceedings of the 7th international conference on New interfaces for musical expression
Visual feedback in performer-machine interaction for musical improvisation
NIME '07 Proceedings of the 7th international conference on New interfaces for musical expression
Temporal interaction between an artificial orchestra conductor and human musicians
Computers in Entertainment (CIE) - SPECIAL ISSUE: Media Arts (Part II)
BeatBender: subsumption architecture for autonomous rhythm generation
ACE '08 Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology
A Groovy Virtual Drumming Agent
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Interactive improvisation with a robotic marimba player
Autonomous Robots
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The paper presents our approach for human-machine interaction with an anthropomorphic mechanical percussionist that can listen to live players, analyze perceptual musical aspects in real-time, and use the product of this analysis to play along in a collaborative manner. Our robot, named Haile, is designed to combine the benefits of computational power, perceptual modeling, and algorithmic music with the richness, visual interactivity, and expression of acoustic playing. We believe that when interacting with live players, Haile can facilitate a musical experience that is not possible by any other means, inspiring users to collaborate with it in novel and expressive manners. Haile can, therefore, serve a test-bed for novel forms of musical human-machine interaction, bringing perceptual aspects of computer music into the physical world both visually and acoustically.