Intelligent and Autonomous Spatialisation of Multitrack Audio

Democratisation of audio technology has enabled music production on limited budgets, putting high-quality results within reach of anyone who has access to a laptop, a microphone and the abundance of free software on the web. Similarly, musicians are able to share their own content at very little cost and effort, again due to high availability of cheap technology. Despite this, a skilled mix engineer is still needed in order to deliver professional-standard material.
Recent research has proposed autonomous, intelligent systems that can assist or even automate much of the music production process. They have addressed almost every aspect of audio production, but the research community has yet to tackle spatial audio aspects beyond simple stereo. This project focuses on sound spatialisation systems. It seeks to establish the rules which underly audio production for surround sound and other spatial audio systems, and to embed these rules into an intelligent agent.

Faculty Supervisor:

Philippe Depalle

Student:

Partner:

Queen Mary, University of London

Discipline:

Engineering

Sector:

Entertainment and Media; New and Digital Media; Technology

University:

McGill University

Program: