collaborators

9 papers

eess.SP2026

Why Performance Metrics Overpromise in Auditory Attention Decoding: an Information-Theoretic Reappraisal

Nicolas Heintz, Simon Geirnaert, Tom Francart +1

Auditory attention decoding (AAD) algorithms are predominantly evaluated in a steady state where a listener continuously attends to the same speaker, using metrics such as accuracy…

q-bio.NC2026

Modeling and Interpreting Correlations, Null Distributions and Significance Levels in Neural Tracking of Natural Stimuli

Simon Geirnaert, Alexander Bertrand, Tom Francart +1

Neural tracking - the time-locking of neural responses to continuous stimuli such as speech, music, and video - is widely used to study how the brain processes natural input. Track…

eess.SP2026

Eccentricity Confound in EEG-based Visual Attention Decoding from Gaze-Fixated Neural Tracking of Motion in Natural Videos

Yuanyuan Yao, Celina Salamanca Gonzalez, Simon Geirnaert +3

Objective. Decoding visual attention from brain signals during naturalistic video viewing has emerged as a new direction in brain-computer interface research. Current methods assum…

eess.SP2026

Sample-level EEG-based Selective Auditory Attention Decoding with Markov Switching Models

Yuanyuan Yao, Simon Geirnaert, Tinne Tuytelaars +1

Selective auditory attention decoding aims to identify the speaker of interest from listeners' neural signals, such as electroencephalography (EEG), in the presence of multiple con…

eess.SP2026

Efficient Solutions for Mitigating Initialization Bias in Unsupervised Self-Adaptive Auditory Attention Decoding

Yuanyuan Yao, Simon Geirnaert, Tinne Tuytelaars +1

Decoding the attended speaker in a multi-speaker environment from electroencephalography (EEG) has attracted growing interest in recent years, with neuro-steered hearing devices as…

eess.SP2025

Post-processing of EEG-based Auditory Attention Decoding Decisions via Hidden Markov Models

Nicolas Heintz, Tom Francart, Alexander Bertrand

Auditory attention decoding (AAD) algorithms exploit brain signals, such as electroencephalography (EEG), to identify which speaker a listener is focusing on in a multi-speaker env…