Organizer
AES
The Audio Engineering Society's mission is to promote the science and practice of audio by bringing leading people and ideas together.
Speaker
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Basil WoodsFounder
Basil Woods is an ML engineer and founder of AudioStrip, an AI music technology company specialising in music source separation. He led multiple funded research projects in collaboration with the Centre for Digital Music at Queen Mary University of London, including an Innovate UK grant focused on developing state-of-the-art AI systems for stem separation. His work centres on translating cutting-edge AI research into practical tools for music production and engineering.
Organizer
AES
The Audio Engineering Society's mission is to promote the science and practice of audio by bringing leading people and ideas together.
Using Machine Learning for Stem Separation
This talk explores how modern machine learning techniques have advanced automatic audio stem separation – the process of isolating instruments from mixed recordings. We’ll look at the challenges involved in source separation, how recent AI developments have made high-quality separation possible, real-world applications in music production, and the technology behind AudioStrip.
