Auditory attention identification methods attempt to identify the sound source of a listener's
interest by analyzing measurements of electrophysiological data. We present a tutorial on …

In a multi-speaker scenario, the human auditory system is able to attend to one particular
speaker of interest and ignore the others. It has been demonstrated that it is possible to use …

Objective. A listener's neural responses can be decoded to identify the speaker the person is
attending to in a cocktail party environment. Such auditory attention detection methods have …

Objective: Concealable, miniaturized electroencephalography (mini-EEG) recording devices
are crucial enablers toward long-term ambulatory EEG monitoring. However, the resulting …

In a multi-speaker scenario, a hearing aid lacks information on which speaker the user
intends to attend, and therefore it often mistakenly treats the latter as noise while enhancing …

Identifying the target speaker in hearing aid applications is an essential ingredient to
improve speech intelligibility. Recently, a least-squares-based auditory attention decoding …

Single-channel speech enhancement algorithms have seen great improvements over the
past few years. Despite these improvements, they still lack the efficiency of the auditory …

Objective. A hearing aid's noise reduction algorithm cannot infer to which speaker the user
intends to listen to. Auditory attention decoding (AAD) algorithms allow to infer this …

Identifying the target speaker in hearing aid applications is an essential ingredient to
improve speech intelligibility. To identify the target speaker from single-trial EEG recordings …

Objective. It has been shown that attentional selection in a simple dichotic listening
paradigm can be decoded offline by reconstructing the stimulus envelope from single-trial …