ICLC 2023 Catalogue PROOF VERSION

Commuta: A Cross Adaptive Laptop Ensemble

Francesco Corvi, Riccardo Ancona, Giulia Francavilla (Giulia Rae)

Was performed at:

Program Notes

Commuta is a trio algorithmic performance dealing with the notion of cross-adaptive sonic relationships. Three performers are entangled in a network of influences obtained by dynamically relating the expressive features of each sound stream with the others. In this system, live coding acts as a form of interaction capable of producing perturbations and changing on-the-fly the overall structure of the network. The joint result seeks for an emergent complexity lying at the intersection of the the three performer’s individual practices: the development of adaptive sonic processes in live coding by Francesco Corvi (nesso.xyz), Giulia Rae’s exploration of machine listening techniques for environmental synthetic soundscapes, and Riccardo Ancona’s study on material identities in corpus manipulations.

Abstract


The abstract is displayed here for proof-reading and will only be part of the published proceedings, not of the final version of this web catalogue.

Commuta is a cross-adaptive laptop ensemble in which computers share audio signals, extract expressive characteristics, and adjust their behavior adaptively. Three performers improvise by modifying such relationships, reconfiguring the software on-the-fly, and exploring how changes propagate through a network of influences. In Commuta, live coders are not in control, but part of a shifting network of relationships between humans, computers and sounds. The joint result seeks for an emergent complexity lying at the intersection of the the three performer’s individual practices: the development of adaptive sonic processes in live coding by Francesco Corvi (nesso.xyz), Giulia Rae’s exploration of machine listening techniques for environmental synthetic soundscapes, and Riccardo Ancona’s study on material identities in corpus manipulations. The algorithmic environments used by these 3 performers represent an excellent case for creating a cross-adaptive laptop ensemble, as they all individually already use adaptive sound processes that can interplay with each other.