Unsupervised Self-Adaptive Auditory Attention Decoding

Unsupervised Self-Adaptive Auditory Attention Decoding

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 provide this information by, for example, reconstructing the attended speech envelope from electroencephalography (...

Full description

Bibliographic Details
Main Authors: Bertrand, A. (Author), Francart, T. (Author), Geirnaert, S. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:
accuracy
algorithm
Algorithms
Article
artifact
attention
Attention
Audition
Auditory attention
auditory attention decoding
Auditory Perception
auditory system
computer heuristics
computer model
Decoding
electroencephalogram
electroencephalography
Electroencephalography
Electrophysiology
evoked brain stem auditory response
hearing
Hearing devices
human
human experiment
Iterative methods
learning algorithm
mathematical analysis
Mathematical analysis
mathematical model
measurement accuracy
nerve cell network
neurofeedback
neuro-steered hearing devices
Plug and play
signal noise ratio
sleep disordered breathing
speech perception
Speech Perception
stimulus reconstruction
Stimulus reconstruction
stochastic model
Subject-specific
Unsupervised algorithms
unsupervised training
User training
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items