Happy to announce that the four papers in which I’m involved for ICASSP 2021 have been accepted!
The main work I’ve been involved in is:
Unsupervised Contrastive Learning of Sound Event Representations
E. Fonseca, D. Ortego, K. McGuinness, N.E. O’Connor, X. Serra
Accepted in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
[PDF]
[code]
This is a collaboration between Dublin City University’s Insight Centre and the MTG-UPF. We’re preparing the PyTorch code release, which we hope to release soon. Stay tuned!
In addition, I’ve been involved in various collaborations with other researchers at Google and the DCASE Task 4 organizers.
What’s All the FUSS About Free Universal Sound Separation Data?
S. Wisdom, H. Erdogan, D. P.W. Ellis, R. Serizel, N. Turpault, E. Fonseca, J. Salamon, P. Seetharaman, J. Hershey
Accepted in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
[PDF]
Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes
N. Turpault, R. Serizel, S. Wisdom, H. Erdogan, J. Hershey, E. Fonseca, P. Seetharaman, J. Salamon
Accepted in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
[PDF]
The benefit of temporally-strong labels in audio event classification
S. Hershey, D. P W Ellis, E. Fonseca, A. Jansen, C. Liu, R C. Moore, and M. Plakal.
Accepted in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
[PDF]
Looking forward to the conference!