This paper describes Swarm Performance and Improvisation (Swarm-PI), a real-time computer environment for music improvisation that uses swarm algorithms to control sound synthesis and to mediate interactions with a human performer. Swarm models are artificial, multi-agent systems where the organized movements of large groups are the result of simple, local rules between individuals. Swarms typically exhibit self-organization and emergent behavior. In Swarm-PI, multiple acoustic descriptors from a live audio feed generate parameters for an independent swarm among multiple swarms in the same space, and each swarm is used to synthesize a stream of sound using granular sampling. This environment demonstrates the effectiveness of using swarms to model human interactions typical to group improvisation and to generate organized patterns of synthesized sound.
CITATION STYLE
Mauceri, F., & Majercik, S. M. (2017). A swarm environment for experimental performance and improvisation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10198 LNCS, pp. 190–200). Springer Verlag. https://doi.org/10.1007/978-3-319-55750-2_13
Mendeley helps you to discover research relevant for your work.