Research – Page 3 – UKRI Centre for Doctoral Training in Artificial Intelligence and Music

Christos Plachouras
5th September 2025

AIM will co-host AI for Music workshop at AAAI-26 in Singapore

AIM is co-hosting a full-day AI for Music workshop titled “1st International Workshop on Emerging AI Technologies for Music (EAIM)” at the AAAI-26 conference in Singapore, from January 20-27, 2026. The workshop will explore how AI can be designed for controllability and human-centered collaboration, moving beyond automation toward systems that empower people in creative processes.

The accepted papers will be published as a volume in the Proceedings of Machine Learning Research (PMLR). The paper submission deadline is October 24, 2025.

Further information on topics, submission requirements, keynote speakers, and more is avaliable here.

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Christos Plachouras
3rd September 2025

AIM at AES AIMLA Conference

AIMLA conference logo The AES International Conference on Artificial Intelligence and Machine Learning for Audio (AIMLA 2025) will be hosted by the Centre for Digital Music of Queen Mary University of London and is taking place on Sept. 8-10, 2025.

Several AIM members are involved in the organisation of the conference, including but not limited to:

Soumya Vanka (Special Sessions Co-Chair)
Franco Caspe (Special Sessions Co-Chair)
Farida Yusuf (Sponsorship Chair)
Chin-Yun Yu (Late Breaking Papers Chair)

Several papers and presentations will be made from AIM members at AIMLA as well. The following peer-reviewed papers will be presented at the conference:

NablAFx: A Framework for Differentiable Black-box and Gray-box Modeling of Audio Effects, by Marco Comunità, Christian Steinmetz, Joshua Reiss
Sound Matching an Analogue Levelling Amplifier Using the Newton-Raphson Method, by Chin-Yun Yu, George Fazekas
Procedural Music Generation Systems in Games, by Shangxuan Luo, Joshua Reiss
Neutone SDK: An Open Source Framework for Neural Audio Processing, by Christopher Mitcheltree, Bogdan Teleaga, Andrew Fyfe, Naotake Masuda, Matthias Schäfer, Alfie Bradic, Nao Tokui

The following late-breaking poster from AIM members will be presented at AIMLA:

Towards Intelligent Music Education: Score-Informed Transcription and Performance Assessment, by Jack Loth, Marikaiti Primenta, Jingjing Tang, Xavier Riley, Simon Dixon, Emmanouil Benetos

Last but not least, the following tutorial will be co-presented by AIM member Franco Caspe:

Real-Time Neural Audio Inference , by Franco Caspe and Jatin Chowdhury

See you in London!

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Christos Plachouras
3rd September 2025

AIM at UKAIRS 2025

UKAIRS 2025 logo

On 8-10 September, AIM members will participate in the UK AI Research Symposium (UKAIRS) in Northumbria University, Newcastle. UKAIRS will bring together researchers from different disciplines, aiming to inform UK AI research priorities, foster interdisciplinary collaboration, and shape discourse on delivering AI for societal and economic benefit.

The following works AIM members have been involved in will be presented:

Towards Music Industry 5.0: Perspectives on Artificial Intelligence, Alexander Williams, Mathieu Barthet
Towards a Unified Representation Evaluation Framework Beyond Downstream Tasks, Christos Plachouras, Julien Guinot, George Fazekas, Elio Quinton, Emmanouil Benetos, Johan Pauwels
Split Fine-Tuning of BERT-based Music Models in the Edge-Cloud Continuum: An Empirical Analysis, Bradley Aldous, Ahmed M. A. Sayed
Composing Kernel Models with Self-Attention, Carey Bunks, Simon Dixon, Bruno Di Giorgi

Additionally, on 10 September, during the UKAIRS Early Career Researcher Day, AIM member Elona Shatri is organising the workshop “Should Ethics Committees Expand Their Mandates to Review AI Research?”.

See you at UKAIRS!

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