Simon Geirnaert — accepted AI-conference papers

2023

Unbiased Unsupervised Stimulus Reconstruction for EEG-Based Auditory Attention Decoding

Nicolas Heintz, Simon Geirnaert, Tom Francart, Alexander Bertrand

ICASSP 2023accepted

It is possible to decode auditory attention to speech from electrophysiological brain recordings such as electroencephalography (EEG). Such an auditory attention decoding (AAD) allows, e.g., to determine to which person a listener is attending in a multi-talker scenario. The vast majority of researc…

Cited by 0 Source ↗Scholar ↗

2021

Riemannian Geometry-Based Decoding of the Directional Focus of Auditory Attention Using EEG

Simon Geirnaert, Tom Francart, Alexander Bertrand

ICASSP 2021accepted

Auditory attention decoding (AAD) algorithms decode the auditory attention from electroencephalography (EEG) signals that capture the listener’s neural activity. Such AAD methods are believed to be an important ingredient towards so-called neuro-steered assistive hearing devices. For example, tradit…

Cited by 0 Source ↗Scholar ↗