157 citations · 219 across the 18 of their papers we have counts for
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Stimulus-Informed Generalized Canonical Correlation Analysis of Stimulus-Following Brain Responses
Simon Geirnaert, Tom Francart, Alexander Bertrand
In brain-computer interface or neuroscience applications, generalized canonical correlation analysis (GCCA) is often used to extract correlated signal components in the neural acti…
Relating the fundamental frequency of speech with EEG using a dilated convolutional network
Corentin Puffay, Jana Van Canneyt, Jonas Vanthornhout +2
To investigate how speech is processed in the brain, we can model the relation between features of a natural speech signal and the corresponding recorded electroencephalogram (EEG)…
Learning Subject-Invariant Representations from Speech-Evoked EEG Using Variational Autoencoders
Lies Bollens, Tom Francart, Hugo Van Hamme
The electroencephalogram (EEG) is a powerful method to understand how the brain processes speech. Linear models have recently been replaced for this purpose with deep neural networ…