157 citations · 219 across the 18 of their papers we have counts for
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Riemannian geometry-based decoding of the directional focus of auditory attention using EEG
Simon Geirnaert, Tom Francart, Alexander Bertrand
Auditory attention decoding (AAD) algorithms decode the auditory attention from electroencephalography (EEG) signals that capture the listener's neural activity. Such AAD methods a…
EEG-based Auditory Attention Decoding: Towards Neuro-Steered Hearing Devices
Simon Geirnaert, Servaas Vandecappelle, Emina Alickovic +6
People suffering from hearing impairment often have difficulties participating in conversations in so-called `cocktail party' scenarios with multiple people talking simultaneously.…
An LSTM Based Architecture to Relate Speech Stimulus to EEG
Mohammad Jalilpour Monesi, Bernd Accou, Jair Montoya-Martinez +2
Modeling the relationship between natural speech and a recorded electroencephalogram (EEG) helps us understand how the brain processes speech and has various applications in neuros…