HMM

A hidden Markov model for unsupervised EEG-based tracking of auditory attention to a single voice
In this preprint, we propose a fully unsupervised pipeline that combines neural envelope tracking with hidden Markov model-based temporal inference to continuously track absolute auditory attention to a single speaker from EEG.
Tianyi Li, Simon Geirnaert, Davina Van den Broek, Elien Bellon, Bert De Smedt, Alexander Bertrand
October, 2026 preprint
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A hidden Markov model for unsupervised EEG-based tracking of auditory attention to a single voice
Multiscale Gaussian-Mixture Modeling for HMM Post-Processing in Selective Auditory Attention Decoding
In this preprint, we propose a multiscale Gaussian mixture model that jointly estimates HMM emission parameters across multiple window lengths, improving HMM-based post-processing for selective auditory attention decoding.
Tianyi Li, Simon Geirnaert, Bert De Smedt, Alexander Bertrand
September, 2026 preprint
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Multiscale Gaussian-Mixture Modeling for HMM Post-Processing in Selective Auditory Attention Decoding