stimulus reconstruction

Probabilistic Gain Control in a Multi-Speaker Setting using EEG-Based Auditory Attention Decoding
In this paper, presented at EUSIPCO 2024, we present a probabilistic gain control system steered by brain-decoded auditory attention decoding algorithms.
Nicolas Heintz, Simon Geirnaert, Iris Van de Ryck, Tom Francart, Alexander Bertrand
August, 2024 In Proceedings of EUSIPCO 2024, 2024
PDF Cite Dataset
Probabilistic Gain Control in a Multi-Speaker Setting using EEG-Based Auditory Attention Decoding
‘Are you even listening?’ - EEG-based decoding of absolute auditory attention to natural speech
In this article, we perform absolute attention decoding to speech based on EEG signals, to determine whether a subject is attending to the speech or not.
Arnout Roebben, Nicolas Heintz, Simon Geirnaert, Tom Francart, Alexander Bertrand
June, 2024 Journal of Neural Engineering, vol. 21, no. 3, 036046, 2024
PDF Cite Dataset DOI
‘Are you even listening?’ - EEG-based decoding of absolute auditory attention to natural speech
Unsupervised Accuracy Estimation for Brain-Computer Interfaces based on Selective Auditory Attention Decoding
In this preprint, we present a new unsupervised method to estimate the performance of the stimulus reconstruction algorithm for EEG-based auditory attention decoding.
Miguel Ángel López-Gordo, Simon Geirnaert, Alexander Bertrand
February, 2024 preprint
PDF Cite Code Dataset DOI
Unsupervised Accuracy Estimation for Brain-Computer Interfaces based on Selective Auditory Attention Decoding
Unbiased Unsupervised Stimulus Reconstruction for EEG-Based Auditory Attention Decoding
In this article, presented at ICASSP 2023, we present an update of the unsupervised stimulus decoder that avoids its inherent bias to the initialization.
Nicolas Heintz, Simon Geirnaert, Tom Francart, Alexander Bertrand
June, 2023 In Proceedings of ICASSP 2023, 2023
PDF Cite Dataset DOI
Unbiased Unsupervised Stimulus Reconstruction for EEG-Based Auditory Attention Decoding
Time-Adaptive Unsupervised Auditory Attention Decoding Using EEG-Based Stimulus Reconstruction
In this article, publlished in IEEE Journal of Biomedical and Health Informatics, we present a new time-adapative unsupervised stimulus decoder for AAD.
Simon Geirnaert, Tom Francart, Alexander Bertrand
March, 2022 IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 8, pp. 3767-3778, 2022
PDF Cite DOI Dataset I Dataset II Demo
Time-Adaptive Unsupervised Auditory Attention Decoding Using EEG-Based Stimulus Reconstruction
Unsupervised Self-Adaptive Auditory Attention Decoding
In this article, presented in IEEE Journal of Biomedical and Health Informatics, we present a novel unsupervised algorithm to train a stimulus decoder for AAD.
Simon Geirnaert, Tom Francart, Alexander Bertrand
April, 2021 IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 10, pp. 3955-3966, 2021
PDF Cite DOI Dataset I Dataset II Video abstract
Unsupervised Self-Adaptive Auditory Attention Decoding