The goal of this paper is to present a theoretical and practical introduction to generalized
eigendecomposition (GED), which is a robust and flexible framework used for dimension …

When a person listens to sound, the brain time-locks to specific aspects of the sound. This is
called neural tracking and it can be investigated by analysing neural responses (eg …

The human brain tracks amplitude fluctuations of both speech and music, which reflects
acoustic processing in addition to the encoding of higher-order features and one's cognitive …

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 …

Listening environments contain background sounds that mask speech and lead to
communication challenges. Sensitivity to slow acoustic fluctuations in speech can help …

When multiple speakers talk simultaneously, a hearing device cannot identify which of these
speakers the listener intends to attend to. Auditory attention decoding (AAD) algorithms can …

Objective. Measurement of the cortical tracking of continuous speech from
electroencephalography (EEG) recordings using a forward model is an important tool in …

In recent years, electroencephalograph (EEG) studies on speech comprehension have been
extended from a controlled paradigm to a natural paradigm. Under the hypothesis that the …

Objective. The use of natural sounds in auditory brain–computer interfaces (BCI) has been
shown to improve classification results and usability. Some auditory BCIs are based on …

Attentive listening in a multispeaker environment such as a cocktail party requires
suppression of the interfering speakers and the noise around. People with normal hearing …