Identificação Caixa-Cinza de Modelo de Wiener-Hammerstein para Pedal de Distorção

  • Humberto Neto Laboratório de Automação, Controle e Instrumentação (LACI), UFRN, Natal, RN
  • Samaherni Dias Laboratório de Automação, Controle e Instrumentação (LACI), UFRN, Natal, RN
  • Kurios Queiroz Laboratório de Automação, Controle e Instrumentação (LACI), UFRN, Natal, RN
Keywords: System identification, Non-Linear systems, Audio, Signal proccessing, Distortion pedals

Abstract

The advancement of electronics allowed the development of several types of audio effects, mostly applied to musical instruments. One of these effects is distortion, which shaped the sound of electric guitar. Equipments that provided such effects became more robust and compact, combined with a greater diversity of tones. The digital electronics made possible equipments that have these effects, called multi-effect pedals, and unities that can model effects. One of the challenges in the development of these equipments is to truly replicate famous distortion tones. For that purpose, it is possible to model the desired effect through full knowledge of its electronic circuit or through modeling based on the identification of the system in question. This work proposes the digital modeling of the distortion pedal BOSS Blues Driver based on the identification of the used parametric model. The used model is based on a Wiener-Hammerstein and its parameters were optimized by a genetic algorithm. The results of the simulations were evaluated by time-error calculus and a blind hearing test with 30 people.
Published
2022-10-19
Section
Articles