Area of research
Cognitive Neuroscience · Signal Processing
Research interest
Research interests include Hearing Loss and Rehabilitation, EEG and Brain-Computer Interfaces, Neural dynamics and brain function, and Speech and Audio Processing.
Neural Speech Tracking Contribution of Lip Movements Predicts Behavioral Deterioration When the Speaker's Mouth Is Occluded
Neural tracking of natural speech: an effective marker for post-stroke aphasia
What are we <i>really</i> decoding? Unveiling biases in EEG-based decoding of the spatial focus of auditory attention
Exploring neural tracking of acoustic and linguistic speech representations in individuals with post‐stroke aphasia
Functional connectivity of stimulus-evoked brain responses to natural speech in post-stroke aphasia
Relating EEG to continuous speech using deep neural networks: a review
Decoding of the speech envelope from EEG using the VLAAI deep neural network
Neural envelope tracking predicts speech intelligibility and hearing aid benefit in children with hearing loss
Effectiveness of Auditory Training in Experienced Hearing-Aid Users, and an Exploration of Their Health-Related Quality of Life and Coping Strategies
EEG reveals brain network alterations in chronic aphasia during natural speech listening
Neural tracking as a diagnostic tool to assess the auditory pathway
Speech Understanding Oppositely Affects Acoustic and Linguistic Neural Tracking in a Speech Rate Manipulation Paradigm
Hearing loss is associated with delayed neural responses to continuous speech
Neural tracking of linguistic and acoustic speech representations decreases with advancing age
EEG-based detection of the locus of auditory attention with convolutional neural networks
Effect of number and placement of EEG electrodes on measurement of neural tracking of speech
Neural tracking of the fundamental frequency of the voice: The effect of voice characteristics
EEG-based diagnostics of the auditory system using cochlear implant electrodes as sensors
Hearing impairment is associated with enhanced neural tracking of the speech envelope
Fast EEG-Based Decoding Of The Directional Focus Of Auditory Attention Using Common Spatial Patterns
An LSTM based architecture to relate speech stimulus to EEG
Top‐down modulation of neural envelope tracking: The interplay with behavioral, self‐report and neural measures of listening effort
Modeling the relationship between acoustic stimulus and EEG with a dilated convolutional neural network
The interplay of top-down focal attention and the cortical tracking of speech
Linear versus deep learning methods for noisy speech separation for EEG-informed attention decoding
Evidence for enhanced neural tracking of the speech envelope underlying age-related speech-in-noise difficulties
Predicting individual speech intelligibility from the cortical tracking of acoustic- and phonetic-level speech representations
Effect of Task and Attention on Neural Tracking of Speech
An Interpretable Performance Metric for Auditory Attention Decoding Algorithms in a Context of Neuro-Steered Gain Control
EEG-based detection of the locus of auditory attention with convolutional neural networks
Lirias (KU Leuven) 2019cited by 35position: last