EEG-based detection of the locus of auditory attention with convolutional neural networks

S Vandecappelle, L Deckers, N Das, AH Ansari… - Elife, 2021 - elifesciences.org
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 …

Speaker-independent auditory attention decoding without access to clean speech sources

C Han, J O'Sullivan, Y Luo, J Herrero, AD Mehta… - Science …, 2019 - science.org
Speech perception in crowded environments is challenging for hearing-impaired listeners.
Assistive hearing devices cannot lower interfering speakers without knowing which speaker …

EEG-based auditory attention detection: boundary conditions for background noise and speaker positions

N Das, A Bertrand, T Francart - Journal of neural engineering, 2018 - iopscience.iop.org
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 …

Cognitive-driven binaural beamforming using EEG-based auditory attention decoding

A Aroudi, S Doclo - IEEE/ACM Transactions on Audio, Speech …, 2020 - ieeexplore.ieee.org
Identifying the target speaker in hearing aid applications is an essential ingredient to
improve speech intelligibility. Recently, a least-squares-based auditory attention decoding …

DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection

S Yan, H Zhang, X Yang, J Tao, Z Lv - arxiv preprint arxiv:2410.11181, 2024 - arxiv.org
At a cocktail party, humans exhibit an impressive ability to direct their attention. The auditory
attention detection (AAD) approach seeks to identify the attended speaker by analyzing …

[HTML][HTML] Potential of augmented reality platforms to improve individual hearing aids and to support more ecologically valid research

R Mehra, O Brimijoin, P Robinson, T Lunner - Ear and hearing, 2020 - journals.lww.com
An augmented reality (AR) platform combines several technologies in a system that can
render individual “digital objects” that can be manipulated for a given purpose. In the audio …

Impact of different acoustic components on EEG-based auditory attention decoding in noisy and reverberant conditions

A Aroudi, B Mirkovic, M De Vos… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Identifying the target speaker in hearing aid applications is an essential ingredient to
improve speech intelligibility. Recently, a least-squares-based method has been proposed …

Cognitive-driven binaural LCMV beamformer using EEG-based auditory attention decoding

A Aroudi, S Doclo - ICASSP 2019-2019 IEEE International …, 2019 - ieeexplore.ieee.org
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 …

[HTML][HTML] Stimulus-aware spatial filtering for single-trial neural response and temporal response function estimation in high-density EEG with applications in auditory …

N Das, J Vanthornhout, T Francart, A Bertrand - Neuroimage, 2020 - Elsevier
A common problem in neural recordings is the low signal-to-noise ratio (SNR), particularly
when using non-invasive techniques like magneto-or electroencephalography (M/EEG). To …

Congruent audiovisual speech enhances auditory attention decoding with EEG

Z Fu, X Wu, J Chen - Journal of neural engineering, 2019 - iopscience.iop.org
Objective. The auditory attention decoding (AAD) approach can be used to determine the
identity of the attended speaker during an auditory selective attention task, by analyzing …