Disruptive innovation in sound design and audio production

Abstract

Could a robot replace the sound engineer? Recent years have seen the emergence of intelligent systems aimed at algorithmic approaches to autonomous mixing and mastering of audio content. The goal of such approaches is to analyse multiple incoming signals and their interactions in order to determine the processing that will yield a blend of the signals with reduced masking and noise, and higher perceived sound quality. They use techniques from knowledge engineering, psychoacoustics and machine learning to automate many aspects of the audio production process. This talk will review the state of the art and recent advances, as well as their commercial applications.

Profile

Josh Reiss is a Professor with the Centre for Digital Music at Queen Mary University of London. He has published more than 200 scientific papers, and co-authored the book Intelligent Music Production, and textbook Audio Effects: Theory, Implementation and Application. He is the President-Elect and a Fellow of the Audio Engineering Society (AES). He co-founded the highly successful spin-out company, LandR, and recently formed the start-ups, Tonz and Nemisindo. His primary focus of research is on the use of state-of-the-art signal processing techniques for sound design and audio production. He maintains a popular blog, YouTube channel and twitter feed for scientific education and dissemination of research activities.

The seminar will be given online via Zoom. Contact the organizer  to ask for the link.