Machine Listening Lab at ICASSP 2026

On 4-8 May 2026, several MLLab 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, the Machine Listening Lab will have a strong presence at the conference, both in terms of numbers and overall impact. The below papers authored or co-authored by MLLab members will be presented at the main ICASSP 2026 track:

• Domain-Invariant Representation Learning of Bird Sounds, by Ilyass Moummad, Romain Serizel, Emmanouil Benetos, Nicolas Farrugia
• 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

The following papers which have been published at IEEE or EURASIP journals will also be presented at the conference:

• Acoustic Prompt Tuning: Empowering Large Language Models With Audition Capabilities, by Jinhua Liang, Xubo Liu, Wenwu Wang, Mark D. Plumbley, Huy Phan, Emmanouil Benetos
  Published in the IEEE Transactions on Audio, Speech and Language Processing
• Velocity2DMs: A Contextual Modeling Approach to Dynamics Marking Prediction in Piano Performance, by Hyon Kim, Emmanouil Benetos, Xavier Serra
  Published in the IEEE Signal Processing Letters

See you in Barcelona!