MLLab papers at ICASSP 2020

On 4-8 May 2020, several MLLab researchers will participate virtually at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020). ICASSP is the flagship conference of the IEEE’s Signal Processing Society and is the leading conference in the field of signal processing. For this year, ICASSP is organised as a virtual conference offering free registration to attendees.

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 following papers authored/co-authored by MLLab members will be presented:

• Modeling plate and spring reverberation using a DSP-informed deep neural network (M. A. Martínez Ramírez, E. Benetos, and J. D. Reiss)
  Paper (IEEEXplore – publicly available until 10th May)
  Paper (ArXiV)
  Video
• Efficient bird sound detection on the Bela embedded system (A.-M. Solomes and D.Stowell)
  Paper (IEEEXplore – publicly available until 10th May)
  Video
• A study on the transferability of adversarial attacks in sound event classification (V. Subramanian, A. Pankajakshan, E. Benetos, N. Xu, S. McDonald, and M. Sandler)
  Paper (IEEEXplore – publicly available until 10th May)
  Paper (QMRO)
• Playing technique recognition by joint time–frequency scattering (C. Wang, V. Lostanlen, E. Benetos, and E. Chew)
  Paper (IEEEXplore – publicly available until 10th May)
  Paper (QMRO)
  Video
• A-CRNN: a domain adaptation model for sound event detection (W. Wei, H. Zhu, E. Benetos, and Y. Wang)
  Paper (IEEEXplore – publicly available until 10th May)
  Paper (QMRO)