News

On 6-11 April 2025, several CMAI researchers will participate at the 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025). 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 Centre for Multimodal AI will have a strong presence at the conference, both in terms of numbers and overall impact. The below papers authored or co-authored by CMAI members will be presented at the main ICASSP track:

• Acoustic identification of individual animals with hierarchical contrastive learning, by Ines Nolasco, Ilyass Moummad, Dan Stowell, Emmanouil Benetos
• Evaluating contrastive methodologies for music representation learning using playlist data, by Gregor Meehan, Johan Pauwels
• GraFPrint: a GNN-based approach for audio identification, by Aditya Bhattacharjee, Shubhr Singh, Emmanouil Benetos
• Guitar-TECHS: an electric guitar dataset covering techniques, musical excerpts, chords and scales using a diverse array of hardware, by Hegel Pedroza, Wallace Abreu, Ryan M. Corey, Iran R. Roman
• Hybrid losses for hierarchical embedding learning, by Haokun Tian, Stefan Lattner, Brian McFee, Charalampos Saitis
• Learning control of neural sound effects synthesis from physically inspired models, by Yisu Zong, Joshua Reiss
• Learning music audio representations with limited data, by Christos Plachouras, Emmanouil Benetos, Johan Pauwels
• Leave-One-EquiVariant: alleviating invariance-related information loss in contrastive music representations, by Julien Guinot, Elio Quinton, György Fazekas
• LHGNN: local-higher order graph neural networks for audio classification and tagging, by Shubhr Singh, Emmanouil Benetos, Huy Phan, Dan Stowell
• LLaQo: towards a query-based coach in expressive performance assessment, by Huan Zhang, Vincent K.M. Cheung, Hayato Nishioka, Simon Dixon, Shinichi Furuya
• Music2Latent2: audio compression with summary embeddings and autoregressive decoding, by Marco Pasini, Stefan Lattner, György Fazekas
• Towards an integrated approach for expressive piano performance synthesis from music scores, by Jingjing Tang, Erica Cooper, Xin Wang, Junichi Yamagishi, György Fazekas

The following paper accepted at the IEEE Open Journal of Signal Processing ICASSP track will be presented at the conference:

• LC-Protonets: multi-label few-shot learning for world music audio tagging, by Charilaos Papaioannou, Emmanouil Benetos, Alexandros Potamianos

Finally, the following paper will be presented as part of the special session on 50 years of Audio and Acoustic Signal Processing:

• Twenty-five years of MIR research: achievements, practices, evaluations, and future challenges, by Geoffroy Peeters, Zafar Rafii, Magdalena Fuentes, Zhiyao Duan, Emmanouil Benetos, Juhan Nam, Yuki Mitsufuji

See you in Hyderabad!