We present a lightweight method of reverse engineering distortion effects using Wiener-Hammerstein models implemented in a differentiable framework. The Wiener-Hammerstein models are formulated using graphic equalizer pre-emphasis and de-emphasis filters and a parameterized waveshaping function. Several parameterized waveshaping functions are proposed and evaluated. The performance of each method is measured both objectively and subjectively on a dataset of guitar distortion emulation software plugins and guitar audio samples.
Centre for Digital Music , Queen Mary University of London
Joseph T Colonel is a final year PhD student in the Centre for Digital Music at Queen Mary University of London. His work focuses on applying machine learning and neural networks to music production behavior modelling. JT held an internship at Soundwide working on differentiable digital... Read More →
Josh Reiss is Professor of Audio Engineering with the Centre for Digital Music at Queen Mary University of London. He has published more than 200 scientific papers (including over 50 in premier journals and 6 best paper awards) and co-authored two books. His research has been featured... Read More →
Wednesday October 19, 2022 2:30pm - 3:00pm EDT
2D02/03
