Reconstructive Granular Synthesis Engine, 2018.
This work is a result of Jonathan Sudano’s Honors Thesis, titled “Granular and Reconstructive Synthesis Driven by Acoustic Instruments in Live Performance.” The goal of the thesis was to explore the intersection of the fields of Music and Computer Science by developing novel applications of granular synthesis to live performance. The resulting instrument analyzes and utilizes input from live performance of an acoustic wind instrument, using biometric data from the performer to control and modify live audio from their instrument. In this way, the means by which the performer controls their acoustic instrument act as indirect control input for the electronic instrument. From a compositional standpoint, this presents the audience with a novel way to comprehend the physicality of wind performance.