ELECTROACOUSTIC PERFORMANCE INTERFACES THAT LEARN FROM THEIR USERS
Andres Melo, John L. Drever, Geraínt A. Wiggins · 2005
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. 1.