Loading…
Schedule as of Oct 11, 2022 - subject to change

Default Time Zone is EDT - Eastern Daylight Time


Back To Schedule
Wednesday, October 19 • 2:30pm - 3:00pm
Reverse Engineering Memoryless Distortion Effects with Differentiable Waveshapers

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

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.

Speakers
avatar for Joseph Colonel

Joseph Colonel

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 →
avatar for Marco Comunità

Marco Comunità

PhD Researcher, Centre for Digital Music, Queen Mary University of London
I am a PhD student in the Centre for Digital Music at Queen Mary University of London where - as a member of the UKRI Centre for Doctoral Training in AI and Music - I am working on Neural Synthesis of Sound Effects under the supervision of Joshua Reiss.I am also collaborating wit... Read More →
avatar for Joshua Reiss

Joshua Reiss

AES President, Queen Mary University of London
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