CfP: First AES International Conference on AI and Machine Learning for Audio (AIMLA 2025)
Sai Soumya
[apologies for cross-posting, please circulate this call widely]
First AES International Conference on Artificial Intelligence and Machine Learning for Audio (AIMLA 2025), London, Sept. 8-10, 2025, Call for contributions
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:
Intelligent Music Production
Knowledge Engineering Systems
Automatic Mixing / Remixing / Demixing / Mastering
Differentiable Audio Effects
Audio and Music Generation
Generative models for audio
Deep Neural Audio Codecs
Neural Audio Synthesis
Text-to-audio generation
Instrument models
Speech and Singing voice synthesis
AI for sound design
Differentiable Synthesisers using DDSP and other neural models
Representation Learning
Fingerprinting using deep learning
Transfer Learning
Domain Adaptation
Transfer of musical composition and performance characteristics including, timbre, style, production, mixing and playing technique
Real-time AI For Audio
Model Compression (Quantization, Knowledge Distillation)
Efficient Model Design and Benchmarking
Real-time inference frameworks in software and hardware
Applications of AI in Acoustics and Environmental Audio
Machine learning and AI models for acoustic sensing
Deep learning for acoustic scene analysis
Deep learning for localisation in noisy and reverberant environments
Binaural processing with AI or ML
Source and scene classification
Source separation, source identification and acoustic signal enhancement
AI-driven distributed acoustic sensor networks
Control and estimation problems in physical modelling
AI-based perception models inspired by human hearing
Application of AI to wave propagation in air, fluids and solids
AI Ethics for Audio and Music
AI-Generated Music and Creativity
Intellectual Property in AI-Composed Music
AI in Environmental Sound Monitoring
Cultural Appropriation in AI Music
Environmental Impact of Audio Data Processing
Call for Papers
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. Final manuscripts of accepted papers must implement all revisions requested by the review panel and will be presented in an oral or poster session.
Important dates (pre-announcement):
Paper submission deadline: 28th February 2025
Notification of acceptance: 6th June 2025
Camera-ready submission deadline: 7th July 2025
Conference: 8-10 Sept. 2025
Paper submission will open early October 2024, deadlines are subject to minor changes until September 2024.
Enquiries should be sent to: papers...@qmul.ac.uk
Call for Special Sessions
As a part of this conference, we invite submissions for panel discussions, tutorials, and challenges.
Call for Panel Discussions
We are seeking experts and professionals in the field to propose a 60-minute Panel discussion with at least 4 panellists 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.).
Important dates (pre-announcement):
Deadline for panel discussion proposals: 28th February 2025
Accepted panels notified by: 6th June 2025
Call for Tutorials
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.
Important dates (pre-announcement):
Deadline for tutorial proposals: 25th Oct 2024
Accepted sessions notified by: 24th Jan 2025
Call for Challenges
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-ses...@qmul.ac.uk by 15th Oct 2024, followed by a full submission on EasyChair by the final submission deadline.
ProposalChallenge bidders should submit a challenge proposal for review. The proposal should be a maximum of two pages (PDF format) including the following information:
Challenge name
Coordinators
Keywords (e.g. classification, generation, transcription)
Definition (one sentence, e.g. automatic mixing for 8 tracks with prediction of audio effect parameters for gain, pan, compressor, and EQ)
Short description (including the research question the challenge is tackling. Please mention if it is a follow-up of a past challenge organised elsewhere)
Dataset description: development, evaluation (short description, how much data is already available and prepared, how long would it take to prepare the rest, mention if you allow external data/transfer learning or not)
Evaluation method/metric
Baseline system (2 sentences, planned method if you do not have one from the previous challenge)
Contact person (for main communication, website)
Important dates (pre-announcement):
Expression of Interest: 15th Oct 2024
Final Submission Deadline: 31st Oct 2024
Conditional Acceptance Notification: 29th Nov 2024
If required, we may ask for additional information regarding the organisation and scope of the challenge, and ask for a resubmission of the proposal. The discussion period will span from 2nd Dec 2024 to 17th Jan 2025.
Final Acceptance Notification: 24th Jan 2025
Tentative Timeline
Challenge Descriptions Announced: 31st Jan 2025
Challenges Start: 1st April 2025
Challenges End: 15th June 2025
Challenges Results Announcement: 15th July 2025
We invite challenge organisers to compile a report and present it in the form of a paper which can be part of the conference proceedings.
Paper Submission deadline: 15th August 2025
Enquiries should be sent to: special-ses...@qmul.ac.uk
Organising Committee
General Chair: Prof. Joshua Reiss (QMUL) (chair...@qmul.ac.uk)
Papers Co-Chairs: Brecht De Man (PXL-Music) and George Fazekas (QMUL) (papers...@qmul.ac.uk)
Special Sessions Co-Chairs: Soumya Vanka (QMUL) and Franco Caspe (QMUL) (special-ses...@qmul.ac.uk)
Conference Website: https://aes2.org/events-calendar/2025-aes-international-conference-on-artificial-intelligence-and-machine-learning-for-audio/