All posts by Ben Hayes

The AIM 2021 cohort will be organising the Digital Music Research Network (DMRN) 2022 workshop on 20th December 2022. The workshop is hosted at QMUL on an annual basis by the Centre for Digital Music and aims to promote research in Digital Music by bringing together researchers from academia and industry in electronics engineering, computer science, and music.

The workshop will include a keynote talk by Dr. Sander Dieleman on generative modelling and iterative refinement. Submission of abstracts for talks or posters are open until 20th November.

If you are a possible AIM CDT 2023 applicant, you are welcome to come and talk to us on the event (contact us for registration). For more details, please refer to the relevant website .

On 3-4 November, AIM PhD student Shubhr Singh will participate at the 7th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2022). The workshop aims to provide a venue for researchers working on computational analysis of sound events and scene analysis to present and discuss their results, and is organised in conjunction with the DCASE 2022 Challenge. He was involved in the organisation of the DCASE 2021 & 2022 Challenge task on Few-shot Bioacoustic Event Detection and was responsible for designing the deep learning baseline of the task along with task webpage management. The task will be presented in challenge highlight and general track spotlight session on Thursday, 3rd November, 2022 at 9:10 & 9:40 AM respectively. For more details on the task, kindly refer to the following paper:

• Few-shot bioacoustic event detection at the DCASE 2022 challenge, by Ines Nolasco, Dan Stowell, Vincent Lostanlen, Shubhr Singh, Veronica Morfi, Ari Strandburg-Peshkin, Lisa Gill, Emily Grout, Ester Vidana-Villa, Joe Morford, Michael Emmerson, Frants Jensen, Helen Whitehead, Hanna Pamula, Ivan Kiskin

See you all at DCASE!

On 7-13 & 22-27 May, a number of AIM researchers will participate at the 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022). ICASSP is the leading conference in the field of signal processing and the flagship event of the IEEE Signal Processing Society. The below papers presented at ICASSP 2022 are authored or co-authored by AIM members:

• Direct design of biquad filter cascades with deep learning by sampling random polynomials, by Joseph T. Colonel, Christian J. Steinmetz, Marcus Michelen, Joshua D. Reiss
• Improving lyrics alignment through joint pitch detection, by Jiawen Huang, Emmanouil Benetos, Sebastian Ewert
• Learning music audio representations via weak language supervision, by Ilaria Manco, Emmanouil Benetos, Elio Quinton, George Fazekas

See you all at ICASSP!