News

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

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

• Josh Reiss (General Chair)
• George Fazekas (Papers Co-chair)
• Soumya Vanka (Special Sessions Co-Chair)
• Franco Caspe (Special Sessions Co-Chair)
• Farida Yusuf (Sponsorship Chair)
• Emmanouil Benetos (Publicity Chair)
• Nelly Garcia (Social Events Coordinator)
• Ilias Ibnyahya (Treasurer)
• Chin-Yun Yu (Late Breaking Papers Chair)
• Marikaiti Primenta (Invited Speakers Chair)

Several papers and presentations will be made from CMAI 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
• Transfer Learning for Neural Modelling of Nonlinear Distortion Effects, by Tara Vanhatalo, Pierrick Legrand, Myriam Desainte-Catherine, Pierre Hanna, Guillaume Pille, Antoine Brusco, 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 posters from CMAI members will be presented at AIMLA:

• Transformer-Based Sustain Pedal Reconstruction for Expressive Piano Performance MIDI, by Wenhao Liu, George Fazekas, Jingjing Tang
• Decoding Melodic Acoustic Features from Neural Data, by Zorka Bozilovic, Iran Roman
• 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 CMAI PhD student Franco Caspe:

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

See you in London!