Electroacoustic performance interfaces that learn from their users

We present preliminary outcomes of a feasibility study of a novel application of machine learning technology to the sound diffusion work of an electroacoustic composer/performer. We propose a simple but effective visualisation method for diffusion data, and present evidence that simple learning technology can learn the necessary structure to facilitate diffusion performance.