Lies Bollens — accepted AI-conference papers

2023

ICASSP 2023 Auditory EEG Decoding Challenge

Lies Bollens, Mohammad Jalilpour-Monesi, Bernd Accou, Jonas Vanthornhout, Hugo Van hamme, Tom Francart

ICASSP 2023accepted

This paper describes the auditory EEG challenge which was organized as one of the Signal Processing Grand Challenges of ICASSP 2023. This challenge consists of two tasks in which the goal is to relate electroencephalogram (EEG) signals to the presented speech stimulus. In the first task, named match…

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2022

Learning Subject-Invariant Representations from Speech-Evoked EEG Using Variational Autoencoders

Lies Bollens, Tom Francart, Hugo Van hamme

ICASSP 2022accepted

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 networks and yield promising results. In related EEG classification fields, it is shown that explicitly modeling subject-invar…

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