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Wednesday, October 25 • 10:15am - 11:45am
AI for Multitrack Music Mixing

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Mixing is a central task within audio post-production where expert knowledge is required to deliver professional quality content, encompassing both technical and creative considerations. In this comprehensive workshop, we will explore recent advances in deep learning approaches for multitrack music mixing that utilize large-scale datasets, surpassing traditional expert systems. Topics covered will encompass intelligent music production, the importance of context in mixing, challenges in system design, and novel deep learning techniques such as differentiable mixing consoles and mixing style transfer. This workshop will also address future directions and challenges, and emphasise the need for interpretable and interactive systems. By bringing together researchers and professionals in audio engineering and digital signal processing, this workshop intends to foster the exploration of deep learning techniques specifically tailored for multitrack music mixing and wider audio engineering problems. The participation of the AES community is invaluable as we collectively strive to find solutions and shape the future of deep learning in audio mixing.

avatar for Gary Bromham

Gary Bromham

Researcher & Independent Music Professional, Centre for Digital Music, Queen Mary University of London

Marco Martínez

Sony Research, Tokyo, Japan

Junghyun Koo

Music and Audio Research Group, Seoul National University

Brecht De Man

PXL University of Applied Sciences and Arts

David Ronan

CEO, RoEX Audio

Wednesday October 25, 2023 10:15am - 11:45am EDT