Bernd Accou

Interpersonal Synchronization of Brain and Body Tracks Attention and Listening Engagement

This study disentangles attention and listening engagement by manipulating both factors and finds that neural synchronization predicts attention while bodily and self-report measures predict engagement.

In sync with sound: Interpersonal synchronization as an objective measure of listening engagement

This study shows that interpersonal synchronization of brain, heart, and skin responses correlates with subjective listening engagement during story listening.

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

The paper introduces SparrKULee, a large EEG dataset of speech-evoked auditory responses from 85 participants, suitable for training machine learning models and benchmarking encoding/decoding tasks.

Classifying native versus foreign speech perception from EEG using linguistic speech features

This study uses EEG and deep learning to classify native versus foreign speech perception based on linguistic features and observes differences in neural tracking patterns.

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

The paper uses a convolutional neural network to analyze EEG data and shows it better captures linguistic speech features than linear models.

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

This paper introduces a deep neural network called VLAAI for decoding speech envelopes from EEG, showing improved performance over linear models and demonstrating good generalization across subjects and stimuli.