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Relating EEG to continuous speech using deep neural networks: a review
Objective. When a person listens to continuous speech, a corresponding response is elicited
in the brain and can be recorded using electroencephalography (EEG). Linear models are …
in the brain and can be recorded using electroencephalography (EEG). Linear models are …
DGSD: Dynamical graph self-distillation for EEG-based auditory spatial attention detection
C Fan, H Zhang, W Huang, J Xue, J Tao, J Yi, Z Lv… - Neural Networks, 2024 - Elsevier
Abstract Auditory Attention Detection (AAD) aims to detect the target speaker from brain
signals in a multi-speaker environment. Although EEG-based AAD methods have shown …
signals in a multi-speaker environment. Although EEG-based AAD methods have shown …
How to discern external acoustic waves in a piezoelectric neuron under noise?
Biological neurons keep sensitive to external stimuli and appropriate firing modes can be
triggered to give effective response to external chemical and physical signals. A …
triggered to give effective response to external chemical and physical signals. A …
Detecting the locus of auditory attention based on the spectro-spatial-temporal analysis of EEG
Objective. Auditory attention decoding (AAD) determines which speaker the listener is
focusing on by analyzing his/her EEG. Convolutional neural network (CNN) was adopted to …
focusing on by analyzing his/her EEG. Convolutional neural network (CNN) was adopted to …
Music-oriented auditory attention detection from electroencephalogram
Music-oriented auditory attention detection (AAD) aims at determining which instrument in
polyphonic music a listener is paying attention to by analyzing the listener's …
polyphonic music a listener is paying attention to by analyzing the listener's …
Improving auditory attention decoding by classifying intracranial responses to glimpsed and masked acoustic events
Listeners with hearing loss have trouble following a conversation in multitalker
environments. While modern hearing aids can generally amplify speech, these devices are …
environments. While modern hearing aids can generally amplify speech, these devices are …
[HTML][HTML] Closed-loop cognitive-driven gain control of competing sounds using auditory attention decoding
Recent advances have shown that it is possible to identify the target speaker which a
listener is attending to using single-trial EEG-based auditory attention decoding (AAD). Most …
listener is attending to using single-trial EEG-based auditory attention decoding (AAD). Most …
Envelope Based Deep Source Separation and EEG Auditory Attention Decoding for Speech and Music
This study focuses on auditory attention decoding (AAD) for speech and music. We propose
an envelope-based deep source separation strategy on a single microphone system, where …
an envelope-based deep source separation strategy on a single microphone system, where …
Investigating self-supervised deep representations for eeg-based auditory attention decoding
Auditory Attention Decoding (AAD) algorithms play a crucial role in isolating desired sound
sources within challenging acoustic environments directly from brain activity. Although …
sources within challenging acoustic environments directly from brain activity. Although …
LSTMs for EEG-based auditory attention decoding
The cocktail party problem occurs when hearing aid users are in an environment with more
than one speaker. For these people, it is difficult to follow a particular speaker. One possible …
than one speaker. For these people, it is difficult to follow a particular speaker. One possible …