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eess.AS2022
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)…
eess.AS2022★ 21 cited
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…