Papers on speaker segmentation and polynomial matrix eigenvalue decomposition accepted for ICASSP’21
Aidan Hogg’s work  proposes to track the pitch of human voices in order to segment the onsets and endpoints of multiple competing speakers. Vincent Neo’s work  proposes to focus on speech in noise and reverberation by steering beams in the source direction and decomposing the resulting signals into a source and noise subspace.
 Hogg, Aidan, Evers, Christine and Naylor, Patrick A. (2021) Multichannel overlapping speaker segmentation using multiple hypothesis tracking of acoustic and spatial features. accepted for IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP).
 Neo, Vincent W., Evers, Christine and Naylor, Patrick (2021) Polynomial matrix eigenvalue decomposition of spherical harmonics for speech enhancement. accepted for IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP).