SR

Temporal variation in the acoustic dynamic range is a confounding factor in EEG-based tracking of absolute auditory attention to speech
In this paper, presented at EMBC 2025, 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
July, 2025 In Proceedings of EMBC 2025, 2025
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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
EEG-based Decoding of Auditory Attention to Conversations with Turn-taking Speakers
In this preprint, we present analysis of a conversation tracking paradigm with 2 or 3 conversations during selective auditory attention decoding from EEG.
Iris Van de Ryck, Nicolas Heintz, Iustina Rotaru, Simon Geirnaert, Alexander Bertrand, Tom Francart
June, 2025 preprint
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EEG-based Decoding of Auditory Attention to Conversations with Turn-taking Speakers
A Direct Comparison of Simultaneously Recorded Scalp, Around-Ear, and In-Ear EEG for Neural Selective Auditory Attention Decoding to Speech
In this preprint, we present a novel dataset and accompanying analysis enabling the first direct comparison between scalp, around-ear, and in-ear electroencephalography (EEG) for neural selective auditory attention decoding to speech.
Simon Geirnaert, Simon L. Kappel, Preben Kidmose
May, 2025 preprint
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A Direct Comparison of Simultaneously Recorded Scalp, Around-Ear, and In-Ear EEG for Neural Selective Auditory Attention Decoding to Speech
Performance Modeling for Correlation-based Neural Decoding of Auditory Attention to Speech
In this article, presented at EUSIPCO 2025, 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 In Proceedings of EUSIPCO 2025, 2025
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Performance Modeling for Correlation-based Neural Decoding of Auditory Attention to Speech