| An LSTM based architecture to relate speech stimulus to EEG MJ Monesi, B Accou, J Montoya-Martinez, T Francart, H Van Hamme ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 41 | 2020 |
| Modeling the relationship between acoustic stimulus and EEG with a dilated convolutional neural network B Accou, MJ Monesi, J Montoya, T Francart 2020 28th European Signal Processing Conference (EUSIPCO), 1175-1179, 2021 | 28 | 2021 |
| Relating EEG to continuous speech using deep neural networks: a review. C Puffay, B Accou, L Bollens, MJ Monesi, J Vanthornhout, T Francart Journal of Neural Engineering, 2023 | 19 | 2023 |
| Decoding of the speech envelope from EEG using the VLAAI deep neural network B Accou, J Vanthornhout, HV hamme, T Francart Scientific Reports 13 (1), 812, 2023 | 17 | 2023 |
| Predicting speech intelligibility from EEG in a non-linear classification paradigm B Accou, MJ Monesi, T Francart Journal of Neural Engineering 18 (6), 066008, 2021 | 16* | 2021 |
| Extracting different levels of speech information from EEG using an LSTM-based model MJ Monesi, B Accou, T Francart, H Van Hamme arXiv preprint arXiv:2106.09622, 2021 | 13 | 2021 |
| A Large Auditory EEG decoding dataset L Bollens, B Accou, T Francart doi 10, K3VSND, 2023 | 10* | 2023 |
| Robust neural tracking of linguistic speech representations using a convolutional neural network C Puffay, J Vanthornhout, M Gillis, B Accou, T Francart Journal of Neural Engineering 20 (4), 046040, 2023 | 4 | 2023 |
| SparrKULee: A Speech-evoked Auditory Response Repository of the KU Leuven, containing EEG of 85 participants B Accou, L Bollens, M Gillis, W Verheijen, H Van hamme, T Francart bioRxiv, 2023.07. 24.550310, 2023 | 3 | 2023 |
| SparrKULee: A Speech-evoked Auditory Response Repository of the KU Leuven, containing EEG of 85 participants L Bollens, B Accou, M Gillis, W Verheijen, T Francart | 2 | 2023 |
| Self-supervised enhancement of stimulus-evoked brain response data B Accou, T Francart arXiv preprint arXiv:2302.01924, 2023 | 1 | 2023 |
| Auditory EEG decoding challenge for ICASSP 2023 MJ Monesi, L Bollens, B Accou, J Vanthornhout, H Van Hamme, ... IEEE Open Journal of Signal Processing, 2024 | | 2024 |
| Classifying native versus foreign speech perception from EEG using linguistic speech features C Puffay, J Vanthornhout, M Gillis, P De Clercq, B Accou, H Van hamme, ... bioRxiv, 2024.04. 11.589055, 2024 | | 2024 |
| Deep neural networks as a model of speech perception B Accou | | 2023 |
| Neural tracking of linguistic features at different speech rates using a deep neural network C Puffay, J Vanthornhout, M Gillis, B Accou, T Francart Society For Neuroscience, Location: Washington DC, 2023 | | 2023 |
| ICASSP 2023 Auditory EEG Decoding Challenge L Bollens, MJ Monesi, B Accou, J Vanthornhout, H Van Hamme, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | | 2023 |
| Relating linguistic features of speech with EEG using a dilated convolutional network C Puffay, J Vanthornhout, M Gillis, B Accou, T Francart Society For Neuroscience annual meeting-Neuroscience 2022, Date: 2022/11/12 …, 2022 | | 2022 |
| Improved decoding of the speech envelope using a deep neural network B Accou, J Vanthornhout, T Francart Logo 7th International Conference on Auditory Cortex, Location: Magdenburg …, 2022 | | 2022 |
| Using artificial intelligence to create an objective measure of speech intelligibility B Accou, T Francart MINDSEED (quick pitch competition of Neurotech Leuven 2022), Location: Leuven, 2022 | | 2022 |
| Matching EEG to speech envelope segments M Jalilpour Monesi, B Accou, T Francart Leuven AI, Location: Irish College, KU Leuven, 2020 | | 2020 |
