Linear versus deep learning methods for noisy speech separation for EEG-informed attention decoding
N. Das, J. Zegers, H. Van hamme, T. Francart, A. Bertrand
This paper compares linear and deep learning methods for speech separation in EEG-informed attention decoding, finding linear methods competitive and DNNs beneficial when combined with beamformers.
bioRxiv · Jan 22, 2020Bioengineering