Auditory attention decoding (AAD) aims to recognize the attended speaker based on
electroencephalography (EEG) signals in multi-talker environments. Most AAD methods only …

The spatial auditory attention decoding (Sp-AAD) technology aims to determine the direction
of auditory attention in multi-talker scenarios via neural recordings. Despite the success of …

The human brain can easily focus on one speaker and suppress others in scenarios such as
a cocktail party. Recently, researchers found that auditory attention can be decoded from the …

Future hearing-aid technology may allow a listener to isolate a single talker of interest from a
mixture by shifting their attention as measured by Electroencephalography (EEG). Such …

In complex auditory environments, the human auditory system possesses the remarkable
ability to focus on a specific speaker while disregarding others. In this study, a new model …

Auditory attention decoding (AAD) with electroencephalography (EEG) holds great promise
in brain-computer interface (BCI). Despite much progress, it remains a research topic on …

Auditory attention detection (AAD) based on electroencephalogram (EEG) helps recognize
the target speaker in a cocktail party scenario, advancing auditory brain-computer interface …

Humans are able to listen to a particular sound source in a noisy environment, an ability
which is referred to as the cocktail party effect. Auditory attention detection (AAD) sheds light …

Objectives: Development of accurate auditory attention decoding (AAD) algorithms, capable
of identifying the attended sound source from the speech evoked electroencephalography …

Detecting auditory attention from brain signals has been a significant challenge in
neuroscience and brain-computer interface research. While progress has been made in …