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A hidden Markov model for unsupervised EEG-based tracking of auditory attention to a single voice
Objective: Absolute auditory attention decoding (aAAD) aims to track how strongly a listener attends to a single speech source using electroencephalography (EEG). Unlike selective auditory attention decoding, aAAD lacks a competing speech reference, making reliable attention tracking challenging.
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