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 …

[HTML][HTML] The potential for a speech brain–computer interface using chronic electrocorticography

Q Rabbani, G Milsap, NE Crone - Neurotherapeutics, 2019 - Elsevier
A brain–computer interface (BCI) is a technology that uses neural features to restore or
augment the capabilities of its user. A BCI for speech would enable communication in real …

Online speech synthesis using a chronically implanted brain–computer interface in an individual with ALS

M Angrick, S Luo, Q Rabbani, DN Candrea, S Shah… - Scientific reports, 2024 - nature.com
Brain–computer interfaces (BCIs) that reconstruct and synthesize speech using brain activity
recorded with intracranial electrodes may pave the way toward novel communication …

Neurolinguistics research advancing development of a direct-speech brain-computer interface

C Cooney, R Folli, D Coyle - IScience, 2018 - cell.com
A direct-speech brain-computer interface (DS-BCI) acquires neural signals corresponding to
imagined speech, then processes and decodes these signals to produce a linguistic output …

The nested hierarchy of overt, mouthed, and imagined speech activity evident in intracranial recordings

PZ Soroush, C Herff, SK Ries, JJ Shih, T Schultz… - NeuroImage, 2023 - Elsevier
Recent studies have demonstrated that it is possible to decode and synthesize various
aspects of acoustic speech directly from intracranial measurements of electrophysiological …

[HTML][HTML] Key considerations in designing a speech brain-computer interface

F Bocquelet, T Hueber, L Girin, S Chabardès… - Journal of Physiology …, 2016 - Elsevier
Restoring communication in case of aphasia is a key challenge for neurotechnologies. To
this end, brain-computer strategies can be envisioned to allow artificial speech synthesis …

Progress in speech decoding from the electrocorticogram

S Chakrabarti, HM Sandberg, JS Brumberg… - Biomedical Engineering …, 2015 - Springer
Recent advances in neuroimaging methods have improved our ability to explore the
neurological processes underlying speech and language. As a result of these investigations …

Iterative alignment discovery of speech-associated neural activity

Q Rabbani, S Shah, G Milsap, M Fifer… - Journal of Neural …, 2024 - iopscience.iop.org
Objective. Brain–computer interfaces (BCIs) have the potential to preserve or restore speech
in patients with neurological disorders that weaken the muscles involved in speech …

Neurolinguistic and machine-learning perspectives on direct speech BCIs for restoration of naturalistic communication

O Il**a, J Derix, RT Schirrmeister… - Brain-Computer …, 2017 - Taylor & Francis
The ultimate goal of brain-computer-interface (BCI) research on speech restoration is to
develop devices which will be able to reconstruct spontaneous, naturally spoken language …

An interpretable deep learning model for speech activity detection using electrocorticographic signals

M Stuart, S Lesaja, JJ Shih, T Schultz… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Numerous state-of-the-art solutions for neural speech decoding and synthesis incorporate
deep learning into the processing pipeline. These models are typically opaque and can …