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, inc. 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 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-aimla@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:

Deadline for panel discussion proposals: 28th February 2025

Accepted panels notified by: 6th June 2025

Organising 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)

Conference Website: https://aes2.org/events-calendar/2025-aes-international-conference-on-artificial-intelligence-and-machine-learning-for-audio/