Red light spotters: images-driven sound and rhythm landscape

Authors:
Philippe Codognet;Gilbert Nouno
Affiliations:
Keio University, DMC, Tokyo, Japan;University of Paris 6, LIP6 - IRCAM, Paris, France
Venue:
SAME '08 Proceedings of the 1st ACM international workshop on Semantic ambient media experiences
Year:
2008

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Abstract

Red Light Spotters is a multi-contextual interactive project which aims to create an open and real-time musical environment sharing relations with and extending a natural ambient landscape. It encompass artistic creation process embedding image tracking, artificial intelligence with inductive original tempo tracking and beat prediction algorithms. We end up with emergent rhythmic processing for ambiant musical creation, interpreted and performed by sound artists.