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 Sandell Harmonic ARChive (SHARC). Early results show promise as a mean LSD value of 5.1 dB was achieved after 1000 generations, with 0.52 dB being the minimum LSD found.

Authors: Ly, Edward; Villegas, Julián
Affiliations: Computer Arts Laboratory, University of Aizu; Computer Arts Laboratory, University of Aizu(See document for exact affiliation information.)
AES Convention: 153 (October 2022) Paper Number: 10625
Publication Date: October 19, 2022 Import into BibTeX
Subject: Signal Processing
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=21954

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