Bernd Accou

Decoding of the speech envelope from EEG using the VLAAI deep neural network

T. Francart, J. Vanthornhout, H. Van hamme, 2022, bioRxiv.

Predicting speech intelligibility from EEG in a non-linear classification paradigm

Tom Francart, Hugo Van hamme, Bernd Accou, 2021, Journal of neural engineering.

Predicting speech intelligibility from EEG using a dilated convolutional network pdf

Hugo Van hamme, Tom Francart, Mohammad Jalilpour-Monesi, 2021, ArXiv.

Robust neural tracking of linguistic speech representations using a convolutional neural network

T. Francart, J. Vanthornhout, Marlies Gillis, 2023, bioRxiv.

Relating EEG to continuous speech using deep neural networks: a review

T. Francart, H. V. hamme, J. Vanthornhout, 2023, Journal of neural engineering.

Self-supervised enhancement of stimulus-evoked brain response data

T. Francart, H. V. hamme, Bernd Accou, 2023, 2302.01924.

An LSTM Based Architecture to Relate Speech Stimulus to Eeg

Hugo Van hamme, Tom Francart, Mohammad Jalilpour-Monesi, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Extracting Different Levels of Speech Information from EEG Using an LSTM-Based Model pdf

Hugo Van hamme, Tom Francart, Mohammad Jalilpour-Monesi, 2021, Interspeech.

Modeling the relationship between acoustic stimulus and EEG with a dilated convolutional neural network

Hugo Van hamme, Mohammad Jalilpour-Monesi, Tom Francart, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

SparrKULee: A Speech-evoked Auditory Response Repository of the KU Leuven, containing EEG of 85 participants

T. Francart, Marlies Gillis, H. Van hamme, 2023, bioRxiv.