Biosignal sensors and deep learning-based speech recognition: A review

W Lee, JJ Seong, B Ozlu, BS Shim, A Marakhimov… - Sensors, 2021 - mdpi.com
Voice is one of the essential mechanisms for communicating and expressing one's
intentions as a human being. There are several causes of voice inability, including disease …

Continuous speech processing

C Brodbeck, JZ Simon - Current Opinion in Physiology, 2020 - Elsevier
Speech processing in the human brain is grounded in non-specific auditory processing in
the general mammalian brain, but relies on human-specific adaptations for processing …

Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces

Z Wang, N Shi, Y Zhang, N Zheng, H Li, Y Jiao… - Nature …, 2023 - nature.com
Brain-computer interfaces (BCIs) have attracted considerable attention in motor and
language rehabilitation. Most devices use cap-based non-invasive, headband-based …

[HTML][HTML] Decoding the auditory brain with canonical component analysis

A De Cheveigné, DDE Wong, GM Di Liberto… - NeuroImage, 2018 - Elsevier
The relation between a stimulus and the evoked brain response can shed light on
perceptual processes within the brain. Signals derived from this relation can also be …

Flexible electrodes for brain–computer interface system

J Wang, T Wang, H Liu, K Wang, K Moses… - Advanced …, 2023 - Wiley Online Library
Brain–computer interface (BCI) has been the subject of extensive research recently.
Governments and companies have substantially invested in relevant research and …

Comparison of two-talker attention decoding from EEG with nonlinear neural networks and linear methods

G Ciccarelli, M Nolan, J Perricone, PT Calamia… - Scientific reports, 2019 - nature.com
Auditory attention decoding (AAD) through a brain-computer interface has had a flowering of
developments since it was first introduced by Mesgarani and Chang (2012) using …

Cortical encoding of melodic expectations in human temporal cortex

GM Di Liberto, C Pelofi, R Bianco, P Patel, AD Mehta… - Elife, 2020 - elifesciences.org
Humans engagement in music rests on underlying elements such as the listeners' cultural
background and interest in music. These factors modulate how listeners anticipate musical …

Ten challenges for EEG-based affective computing

X Hu, J Chen, F Wang, D Zhang - Brain Science Advances, 2019 - journals.sagepub.com
The emerging field of affective computing focuses on enhancing computers' ability to
understand and appropriately respond to people's affective states in human-computer …

EEG-transformer: Self-attention from transformer architecture for decoding EEG of imagined speech

YE Lee, SH Lee - 2022 10th International winter conference on …, 2022 - ieeexplore.ieee.org
Transformers are groundbreaking architectures that have changed a flow of deep learning,
and many high-performance models are develo** based on transformer architectures …

Neural decoding of attentional selection in multi-speaker environments without access to clean sources

J O'Sullivan, Z Chen, J Herrero… - Journal of neural …, 2017 - iopscience.iop.org
Objective. People who suffer from hearing impairments can find it difficult to follow a
conversation in a multi-speaker environment. Current hearing aids can suppress …