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Schedule as of Oct 11, 2022 - subject to change

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Wednesday, October 19 • 2:00pm - 2:30pm
Additive Synthesis via Recurrent Cartesian Genetic Programming in FAUST

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We introduce a novel method for generating arbitrary additive synthesizers for audio replication: given a target audio signal, digital signal processes, expressed as cyclic graph structures, are evolved via Recurrent Cartesian Genetic Programming (RCGP) to generate an approximation of the target audio with arbitrary accuracy. The Log-Spectral Distance (LSD) between the target and actual output signals is used to measure the fitness of each solution candidate. The candidate with the smallest LSD is returned as the solution. A working implementation of RCGP in C that generates Functional AUdio STream (FAUST) code is provided, then evaluated via re-synthesis of steady state tones as provided in the SHARC timbre database. Early results show promise as a mean LSD value of 5.873 dB was achieved after 1000 generations, with 1.077 dB being the minimum LSD found.

Speakers
avatar for Edward Ly

Edward Ly

Ph.D. Student, University of Aizu
Edward Ly is a software engineer, AI researcher, and occasional EDM producer. Born and raised in Portland, Oregon, he holds a B.A. in mathematics and computer science at Earlham College and an M.Sc. in computer science and engineering at the University of Aizu. In 2019, he was selected... Read More →


Wednesday October 19, 2022 2:00pm - 2:30pm EDT
2D02/03