News

The AES International Conference on Artificial Intelligence and Machine Learning for Audio (AIMLA 2025), hosted at the Centre for Digital Music of Queen Mary University of London and taking place on Sept. 8-10, 2025 is calling for Tutorial submissions.

We are seeking proposals for 120-minute hands-on tutorials on the conference topics. The proposal should include a title, an abstract (60-120 words), a list of topics, and a description (up to 500 words). Additionally, the submission should include presenters’ names, qualifications, and technical requirements (sound requirements during the presentation, such as stereo, multichannel, etc.). We encourage tutorials to be supported by an elaborate collation of discussed content and code to support learning and building resources for a given topic. The deadline for tutorial proposals is on October 25, 2024 and the tutorial proposal submission portal can be found at: https://easychair.org/conferences/?conf=2025aesaimlapaneltut

For more information on the Calls for Papers, Special Sessions, Tutorials, and Challenges, please visit the conference website: https://aes2.org/events-calendar/2025-aes-international-conference-on-artificial-intelligence-and-machine-learning-for-audio/

The AES International Conference on Artificial Intelligence and Machine Learning for Audio (AIMLA 2025), hosted at the Centre for Digital Music of Queen Mary University of London and taking place on Sept. 8-10, 2025 is calling for proposal submissions for Challenges.

The conference promotes knowledge sharing among researchers, professionals, and engineers in AI and audio. Special Sessions include pre-conference challenges hosted by industry or academic teams to drive technology improvements and explore new research directions. Each team manages the organization, data provision, participation instructions, mentoring, scoring, summaries, and results presentation.

Challenges are selected based on their scientific and technological significance, data quality and relevance, and proposal feasibility. Collaborative proposals from different labs are encouraged and prioritized. We expect an initial expression of interest via email to special-sessions-aimla@qmul.ac.uk by October 15, 2024, followed by a full submission on EasyChair by the final submission deadline.

For more information on the Calls for Papers, Special Sessions, Tutorials, and Challenges, please visit the conference website: https://aes2.org/events-calendar/2025-aes-international-conference-on-artificial-intelligence-and-machine-learning-for-audio/