Machine Listening Lab at ICASSP 2024 – Machine Listening Lab

On 14-19 April, several Machine Listening Lab researchers will participate at the 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024). 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 presented at ICASSP 2024 are authored or co-authored by lab members:

Learning from taxonomy: multi-label few-shot classification for everyday sound recognition, by Jinhua Liang, Huy Phan, and Emmanouil Benetos
Mertech: instrument playing technique detection using self-supervised pretrained model with multi-task finetuning, by Dichucheng Li, Yinghao Ma, Weixing Wei, Qiuqiang Kong, Yulun Wu, Mingjin Che, Fan Xia, Emmanouil Benetos, and Wei Li
Generalized multi-source inference for text conditioned music diffusion models, by Emilian Postolache, Giorgio Mariani, Luca Cosmo, Emmanouil Benetos, and Emanuele Rodolà

See you all at ICASSP!