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Location
Location
2025 AES International Conference on Artificial Intelligence and Machine Learning for Audio
AIMLA Conference Social
Join your colleagues September 8, 2025 at Draper’s Bar and Kitchen
Location: Peter Landin Building, QMUL, Mile End Road. 17 Godward Square, London, England, United Kingdom
QMUL Mile End Campus Map
The AES AIMLA 2025 conference has just started! With over 250 people attending this will be a busy but productive next few days. See the full conference schedule at: https://aes2.org/event-extra/2025-aes-international-conference-on-artificial-intelligence-and-machine-learning-for-audio-program/
Conference sessions (including the registration desk) are taking place in the Bancroft Building, building no. 31 in the Queen Mary Mile End campus map below:

LONDON TRAVEL UPDATE: As of Tuesday, September 2, 2025, there is a Tube Strike scheduled for September 7-11, 2025. This means tube access and service will be severely impacted during this time. For updates on this situation, please visit Strikes – Transport for London for the most up-to-date information on the strike and service impacts.
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The Audio Engineering Society invites audio researchers and practitioners, from academia and industry to participate in the first AES conference dedicated to artificial intelligence and machine learning, as it applies to audio. This 3 day event aims to bring the community together, educate, demonstrate and advance the state of the art. It will feature keynote speakers, workshops, tutorials, challenges and cutting-edge peer-reviewed research.
The scope is wide- expecting attendance from all types of institutions including academia, industry, or pure research, with diverse disciplinary perspectives – but tied together by a focus on artificial intelligence and machine learning for audio.
Original contributions will be encouraged in, but not limited to, the following topics:
Intelligent Music Production
Audio and Music Generation
Music Interaction
Representation Learning
Real-time AI For Audio
Applications of AI in Acoustics and Environmental Audio
In addition to Technical Papers, we will seek proposals for panel discussions, tutorials, and master classes.
The conference aims to foster the sharing and advancement of knowledge among researchers, professionals, and engineers working at the intersection of artificial intelligence and audio. Thus, we will provide an opportunity to host challenges organized by teams from industry or academia as a precursor to the conference. The goal is to foster technology improvements through the continuity of challenges, but also to bring novel research directions into the field.
Please check back here for announcements of submission dates and submission procedures.