Imitation Systems (IMSYS): Spatial Composition in the Frequency Domain
by Tommy Martinez
Imitation Systems (IMSYS) reimagines approaches to multichannel sound composition by introducing methods for the discrete spatialization of spectrum data resulting from an FFT of real time input audio. The system proposes exciting new expectations for how we listen to immersive sound, challenges the limits of physical systems, and creates territory for the development of new compositional frameworks that may arise in this domain. This paper discusses technical components of the spectral panning process as well as considers the system as a departure point for conversations around the physiological and the biopolitical aspects of sound.
IMSYS was presented by CNMAT at UC Berkeley and CCRMA at Stanford University during November of 2019.