2025 AES International Conference on Artificial Intelligence and Machine Learning for Audio
Queen Mary University of London
London, U.K.
September 8-10, 2025
Peer-Reviewed Paper Submission Deadline (Category 1)
Closed
Peer-Reviewed Paper Acceptance Notification (Category 1)
June 16, 2025
Camera-ready submission deadline:
July 24, 2025
Submissions Open:
July 1, 2025
Submission Deadline:
August 1, 2025
Camera-ready deadline:
August 24, 2025
Panel Discussion Submission Deadline
Panel Discussion Acceptance Notification
Closed
June 10, 2025
(Note that the submission site login is NOT the same as your AES login. You will need to create an EasyChair account if you have not submitted via that platform before.)
The AIMLA LBDP is a session for showcasing prototype systems and early research results that are not yet fully developed but are highly relevant to the conference theme. To secure a spot for LBDP, participants must submit a 2-page extended abstract that adheres to the following submission guidelines. At least one author should register for the conference and present their work as a poster in person during the main track poster session. The presentation should focus on technical contributions and avoid being overly commercial. A demonstration is optional. If the demonstration requires additional equipment (such as monitors), please note this on the submission page. The extended abstracts will be published on the AIMLA website before the conference starts.
ATTENTION: Authors whose full papers are accepted at the main track of the conference can reserve a spot for a demo. There is no need to submit a separate extended abstract unless the demo includes materials that extend beyond what has been covered in the full papers. To acquire a demo space, please contact the LBDP chair and provide all the details.
Submission open: July 1st
Submission deadline: August 1st
Camera-ready deadline: August 24th
Submissions will be reviewed on a rolling basis. The acceptance notification will be sent out within two weeks after submission.
To be confirmed with the paper chairs.
For additional information, you can reach the chairs via email at special-sessions-aimla@qmul.ac.uk
Chin-Yun Yu
AIMLA Late Breaking Demo Papers Chair
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, and pure research, with diverse disciplinary perspectives – but tied together by a focus on artificial intelligence and machine learning for audio.
Original contributions are encouraged in, but not limited to the following topics:
Papers Chairs: Brecht De Man (PXL-Music) and George Fazekas (QMUL) (contact papers chairs)
The conference accepts full papers of 4-10 pages. Papers must be submitted as PDF files using EasyChair. All papers will be peer-reviewed by at least two experts in the field, and accepted papers will be presented in the conference programme and proceedings published in the AES Library in open access (OA) format at no additional cost to the author. Final manuscripts of accepted papers must implement all revisions requested by the review panel and will be presented in an oral or poster session.
Downloadable Templates
Start Your Paper Submission
Downloadable Peer-Reviewed template, LaTeX
Downloadable Peer-Reviewed template, Word
Important dates:
Paper submission deadline: March 15, 2025 midnight (AOE)
Notification of acceptance: June 16, 2025
Camera-ready submission deadline: July 24, 2025
Conference: September 8-10, 2025
Paper submission will open early October 2024, deadlines are subject to minor changes until September 2024.
As a part of this conference, we invite submissions for panel discussions, tutorials, and challenges.
We are seeking experts and professionals in the field to propose a 60-minute Panel discussion with at least 4 panelists on the proposed topics. The proposal should include a title, an abstract (60-120 words), a list of topics for discussion, and a description (up to 500 words). Additionally, the submission should include the number, names, and qualifications of presenters, and technical requirements (sound requirements during the presentation, such as stereo, multichannel, etc.).
Start your Panel Discussion submission
Call for Panel Discussion Template (LaTex)
Important dates:
Deadline for panel discussion proposals: March 15, 2025
Accepted panels notified by: June 10, 2025
The AES AI and ML for Audio 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 mail to special-sessions-aimla@qmul.ac.uk by October 15, 2024, followed by a full submission on EasyChair by the final submission deadline.
Start your Challenge submission
Proposal
Challenge bidders should submit a challenge proposal for review. The proposal should be a maximum of two pages (PDF format) including the following information:
Enquiries should be sent to: papers-aimla@qmul.ac.uk and special-sessions-aimla@qmul.ac.uk
Organizing Committee
General Chair: Prof. Joshua Reiss (QMUL) (chair-aimla@qmul.ac.uk)
Papers Co-Chairs: Brecht De Man (PXL-Music) and George Fazekas (QMUL) (papers-aimla@qmul.ac.uk)
Special Sessions Co-Chairs: Soumya Vanka (QMUL) and Franco Caspe (QMUL) (special-sessions-aimla@qmul.ac.uk)
Sponsorships Co-Chairs: Farida Yusuf (QMUL) and Gary Bromham (QMUL)
