On 4-8 May 2026, several AIM researchers will participate at the 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2026). ICASSP is the leading conference in the field of signal processing and the flagship event of the IEEE Signal Processing Society.
As in previous years, AIM will have a strong presence at the conference, both in terms of numbers and overall impact. The papers below, authored or co-authored by AIM members, will be presented at the main ICASSP 2026 track:
- Diffusion Timbre Transfer Via Mutual Information Guided Inpainting, by Ching Ho Lee, Javier Nistal, Stefan Lattner, Marco Pasini, George Fazekas
- Towards Effective Negation Modeling in Joint Audio-Text Models for Music, by Yannis Vasilakis, Rachel Bittner, Johan Pauwels
- Beat and Downbeat Detection: A Reformulated Approach, by James Bolt, Johan Pauwels, George Fazekas
- Learning Vocal-Tract Area and Radiation with a Physics-Informed Webster Model, by Minhui Lu, Joshua D. Reiss
- Scalable Evaluation for Audio Identification via Synthetic Latent Fingerprint Generation, by Aditya Bhattacharjee, Marco Pasini, Emmanouil Benetos
- Audio-to-Score Jazz Solo Transcription with the Rhythm Perceiver, by Ivan Shanin, Xavier Riley, Simon Dixon
See you in Barcelona!