AES Show 2024 NY

The upcoming 2025 AES International Conference on Artificial Intelligence and Machine Learning for Audio (AIMLA) aims to foster a collaborative environment where researchers and practitioners from academia and industry can converge to share their latest work in Artificial Intelligence (AI) and Machine Learning (ML) for Audio.

We want to advertise the upcoming AIMLA at the AES Show, to encourage early involvement and awareness from the AES community. To better accommodate the central themes of the conference, we propose new additions to the typical AES proceedings, such as challenges and long workshops, that can more appropriately showcase the rapidly growing state of the art. In this presentation, we plan to give an overview and a discussion space about the upcoming conference, and the changes we want to bring into play, tailored for AI/ML research communities, with references to successfully organized cases outside of AES. Finally, we propose a standardized template with guidelines for hosting crowdsourced challenges and presenting long workshops.

Challenges are a staple in the ML/AI community, providing a platform where specific problems are tackled by multiple teams who develop and submit models to address the given issue. These events not only spur competition but also encourage collaboration and knowledge sharing, ultimately driving forward the collective understanding and capabilities of the community.

Complementing the challenges, we introduce long-format workshops to exchange knowledge about emerging AI approaches in audio. These workshops can help develop novel approaches from the ground up and produce high-quality material for diffusion among participants. Both additions could help the conference become an exciting and beneficial event at the forefront of AI/ML for audio, as they intend to cultivate a setting where ideas can be exchanged effectively, drawing inspiration from established conferences such as ISMIR, DCASE, and ICASSP, which have successfully fostered AI/ML communities.

As evidenced by the recent AES International Symposium on AI and the Musician, we believe AI and ML will play an increasingly important role in audio and music engineering. To facilitate and standardize the procedures for featuring and conducting challenges and long-form workshops, we will present a complete guideline for hosting long-form workshops and challenges at AES conferences.

Our final goal is to promote the upcoming 2025 International Conference on AI and Machine Learning for Audio, generate a space to discuss the new additions and ideas, connect with interested parties, advertise and provide guidelines regarding the calls for crowd-sourced challenges and workshops, and ultimately get feedback from the AES as a whole to tailor the new conference to the requirements of both our AES and the AI/ML communities.