SR

Performance Modeling for Correlation-based Neural Decoding of Auditory Attention to Speech
In this preprint, we present a novel method to model the performance curve of EEG-based AAD algorithms starting from a single decision window length.
Simon Geirnaert, Jonas Vanthornhout, Tom Francart, Alexander Bertrand
March, 2025 preprint
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Performance Modeling for Correlation-based Neural Decoding of Auditory Attention to Speech
Temporal variation in the acoustic dynamic range is a confounding factor in EEG-based tracking of absolute auditory attention to speech
In this preprint, we show how acoustic dynamic range of a speech stimulus influences the speech-EEG correlation when using that correlation as a metric for absolute attention.
Tianyi Li, Simon Geirnaert, Davina Van den Broek, Elien Bellon, Bert De Smedt, Alexander Bertrand
February, 2025 preprint
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Temporal variation in the acoustic dynamic range is a confounding factor in EEG-based tracking of absolute auditory attention to speech