AIM at ICASSP 2024

On 14-19 April, several AIM 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 UKRI Centre for Doctoral Training in AI and Music 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 AIM students:

The following paper will be presented at the ICASSP Workshop on Explainable Machine Learning for Speech and Audio:

See you all at ICASSP!

AIM at NeurIPS 2023

On 10-16 December, several AIM researchers will participate at the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), taking place in New Orleans, USA. NeurIPS is a world-leading conference in AI, machine learning, and computational neuroscience, attracting more than ten thousand attendees annually. The AI and Music centre for doctoral training will have a strong presence at NeurIPS 2023.

In the Main Conference and specifically its Datasets and Benchmarks track, the following paper is authored by AIM members:

  • MARBLE: Music Audio Representation Benchmark for Universal Evaluation (Ruibin Yuan, Yinghao Ma, Yizhi Li, Ge Zhang, Xingran Chen, Hanzhi Yin, Zhuo Le, Yiqi Liu, Jiawen Huang, Zeyue Tian, Binyue Deng, Ningzhi Wang, Chenghua Lin, Emmanouil Benetos, Anton Ragni, Norbert Gyenge, Roger Dannenberg, Wenhu Chen, Gus Xia, Wei Xue, Si Liu, Shi Wang, Ruibo Liu, Yike Guo, Jie Fu)

In the NeurIPS Machine Learning for Audio Workshop:

  • AIM PhD student Ben Hayes is giving an invited talk on Differentiable digital signal processing (DDSP).

And the following papers are authored by AIM members:

See you at NeurIPS!

AIM organises DMRN 2023 workshop

Similar with previous years, the AIM CDT will be organising the new iteration of DMRN+18: the Digital Music Research Network One-day Workshop 2023.

The workshop will take place on Tuesday 19th December 2023 at Queen Mary University of London.

For full information on the workshop, including the Call for Contributions, draft schedule, and registration information, please see the DMRN+18 website: