AES Fall Convention 2023

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.