CfP: First AES International Conference on AI and Machine Learning for Audio (AIMLA 2025)

AIMLA 2025 poster, with conference name, location, and dates.First AES International Conference on Artificial Intelligence and Machine Learning for Audio (AIMLA 2025), Queen Mary University of London, Sept. 8-10, 2025, Call for contributions

The Audio Engineering Society and the Centre for Digital Music invite 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.

For more information on the Calls for Papers, Special Sessions, Tutorials, and Challenges, please visit the conference website.

Three AIM PhD students are part of the organising committee, with Soumya Sai Vanka and Franco Caspe serving as Special Sessions Co-Chairs, and Farida Yusuf serving as Sponsorship Chair.


AIM at IJCAI 2024

IJCAI JEJU 2024 logoOn 3-9 August, AIM PhD student Yixiao Zhang will participate in the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024) taking place in Jeju, South Korea. IJCAI has remained the premier conference bringing together the international AI community in communicating the advances and celebrating the achievements of artificial intelligence research and practice.

At the conference, Yixiao will present the following paper as part of the AI, Arts & Creativity Special Track:

See you in Jeju!


AIM at DMLR @ ICML 2024

DMLR logo

On 21-27 July 2024, AIM researchers will participate at the Forty-first International Conference on Machine Learning (ICML 2024), taking place in Vienna, Austria. ICML is the leading international academic conference in machine learning, supported by the International Machine Learning Society (IMLS).

There, AIM PhD student Ilaria Manco will be presenting the following paper at the ICLR Data-centric Machine Learning Research workshop (DMLR):

  • Evaluating music understanding in multimodal audio-language models, by Benno Weck, Ilaria Manco, Emmanouil Benetos, Elio Quinton, George Fazekas, Dmitry Bogdanov

See you all at ICML!