Modeling the relationship between acoustic stimulus and EEG with a dilated convolutional neural network. - Bernd Accou; Mohammad Jalilpour-Monesi; Jair Montoya-Martínez; Hugo Van hamme; Tom Francart (EUSIPCO, 2020)

An LSTM Based Architecture to Relate Speech Stimulus to Eeg. - Mohammad Jalilpour-Monesi; Bernd Accou; Jair Montoya-Martínez; Tom Francart; Hugo Van hamme (ICASSP, 2020)

Extracting Different Levels of Speech Information from EEG Using an LSTM-Based Model. - Mohammad Jalilpour-Monesi; Bernd Accou; Tom Francart; Hugo Van hamme (Interspeech, 2021)

Predicting speech intelligibility from EEG using a dilated convolutional network. - Bernd Accou; Mohammad Jalilpour-Monesi; Hugo Van hamme; Tom Francart (CoRR, 2021)

ICASSP 2023 Auditory EEG Decoding Challenge. - Lies Bollens; Mohammad Jalilpour-Monesi; Bernd Accou; Jonas Vanthornhout; Hugo Van hamme; Tom Francart (ICASSP, 2023)

Relating EEG to continuous speech using deep neural networks: a review. - Corentin Puffay; Bernd Accou; Lies Bollens; Mohammad Jalilpour-Monesi; Jonas Vanthornhout; Hugo Van hamme; Tom Francart (CoRR, 2023)

ICASSP 2024 Auditory EEG Decoding Challenge. - Lies Bollens; Corentin Puffay; Bernd Accou; Jonas Vanthornhout; Hugo Vanhamme; Tom Francart (ICASSP Workshops, 2024)

SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants. - Bernd Accou; Lies Bollens; Marlies Gillis; Wendy Verheijen; Hugo Van hamme; Tom Francart (Data, 2024)