A state-of-the-art review of EEG-based imagined speech decoding

D Lopez-Bernal, D Balderas, P Ponce… - Frontiers in human …, 2022 - frontiersin.org
Currently, the most used method to measure brain activity under a non-invasive procedure is
the electroencephalogram (EEG). This is because of its high temporal resolution, ease of …

Decoding speech perception from non-invasive brain recordings

A Défossez, C Caucheteux, J Rapin, O Kabeli… - Nature Machine …, 2023 - nature.com
Decoding speech from brain activity is a long-awaited goal in both healthcare and
neuroscience. Invasive devices have recently led to major milestones in this regard: deep …

Decoding imagined and spoken phrases from non-invasive neural (MEG) signals

D Dash, P Ferrari, J Wang - Frontiers in neuroscience, 2020 - frontiersin.org
Speech production is a hierarchical mechanism involving the synchronization of the brain
and the oral articulators, where the intention of linguistic concepts is transformed into …

Human-computer interaction for brain-inspired computing based on machine learning and deep learning: A review

B Yu, S Zhang, L Zhou, J Wei, L Sun, L Bu - arxiv preprint arxiv …, 2023 - arxiv.org
The continuous development of artificial intelligence has a profound impact on biomedicine
and other fields, providing new research ideas and technical methods. Brain-inspired …

Impact monitoring of large size complex metal structures based on sparse sensor array and transfer learning

B Zhao, Y Zhang, Q Liu, X Qing - Ultrasonics, 2024 - Elsevier
During aircraft operations, the impact events experienced by the aircraft may cause damage
to the structure, thus posing a safety hazard. Therefore, an accurate determination of where …

MEG sensor selection for neural speech decoding

D Dash, A Wisler, P Ferrari, EM Davenport… - IEEE …, 2020 - ieeexplore.ieee.org
Direct decoding of speech from the brain is a faster alternative to current
electroencephalography (EEG) speller-based brain-computer interfaces (BCI) in providing …

Decoding kinematic information from beta-band motor rhythms of speech motor cortex: a methodological/analytic approach using concurrent speech movement …

I Anastasopoulou, DO Cheyne… - Frontiers in Human …, 2024 - frontiersin.org
Introduction Articulography and functional neuroimaging are two major tools for studying the
neurobiology of speech production. Until now, however, it has generally not been feasible to …

[HTML][HTML] NeuroVAD: Real-time voice activity detection from non-invasive neuromagnetic signals

D Dash, P Ferrari, S Dutta, J Wang - Sensors, 2020 - mdpi.com
Neural speech decoding-driven brain-computer interface (BCI) or speech-BCI is a novel
paradigm for exploring communication restoration for locked-in (fully paralyzed but aware) …

Magnetometers vs gradiometers for neural speech decoding

D Dash, P Ferrari, A Babajani-Feremi… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
Neural speech decoding aims at providing natural rate communication assistance to
patients with locked-in state (eg due to amyotrophic lateral sclerosis, ALS) in contrast to the …

How many bytes can you take out of brain-to-text decoding?

R Antonello, N Sarma, J Tang, J Song… - arxiv preprint arxiv …, 2024 - arxiv.org
Brain-computer interfaces have promising medical and scientific applications for aiding
speech and studying the brain. In this work, we propose an information-based evaluation …