A neural speech decoding framework leveraging deep learning and speech synthesis
Decoding human speech from neural signals is essential for brain–computer interface (BCI)
technologies that aim to restore speech in populations with neurological deficits. However, it …
technologies that aim to restore speech in populations with neurological deficits. However, it …
Representation of internal speech by single neurons in human supramarginal gyrus
Speech brain–machine interfaces (BMIs) translate brain signals into words or audio outputs,
enabling communication for people having lost their speech abilities due to diseases or …
enabling communication for people having lost their speech abilities due to diseases or …
Online internal speech decoding from single neurons in a human participant
Speech brain-machine interfaces (BMI's) translate brain signals into words or audio outputs,
enabling communication for people having lost their speech abilities due to diseases or …
enabling communication for people having lost their speech abilities due to diseases or …
A bilingual speech neuroprosthesis driven by cortical articulatory representations shared between languages
Advancements in decoding speech from brain activity have focused on decoding a single
language. Hence, the extent to which bilingual speech production relies on unique or …
language. Hence, the extent to which bilingual speech production relies on unique or …
Continuous synthesis of artificial speech sounds from human cortical surface recordings during silent speech production
K Meng, F Goodarzy, EY Kim, YJ Park… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Brain–computer interfaces can restore various forms of communication in
paralyzed patients who have lost their ability to articulate intelligible speech. This study …
paralyzed patients who have lost their ability to articulate intelligible speech. This study …
Decoding single and paired phonemes using 7T functional MRI
MA Vitória, FG Fernandes, M van den Boom… - Brain Topography, 2024 - Springer
Several studies have shown that mouth movements related to the pronunciation of individual
phonemes are represented in the sensorimotor cortex. This would theoretically allow for …
phonemes are represented in the sensorimotor cortex. This would theoretically allow for …
Imagined speech event detection from electrocorticography and its transfer between speech modes and subjects
A de Borman, B Wittevrongel, I Dauwe… - Communications …, 2024 - nature.com
Speech brain-computer interfaces aim to support communication-impaired patients by
translating neural signals into speech. While impressive progress was achieved in decoding …
translating neural signals into speech. While impressive progress was achieved in decoding …
Speech decoding using cortical and subcortical electrophysiological signals
H Wu, C Cai, W Ming, W Chen, Z Zhu, C Feng… - Frontiers in …, 2024 - frontiersin.org
Introduction Language impairments often result from severe neurological disorders, driving
the development of neural prosthetics utilizing electrophysiological signals to restore …
the development of neural prosthetics utilizing electrophysiological signals to restore …
Brain potentials reveal reduced sensitivity to negative content during second language production
Prior research suggests that bilinguals show reduced sensitivity to negative content when
operating in the second language (L2). The available evidence, however, is limited to …
operating in the second language (L2). The available evidence, however, is limited to …
Learning to operate an imagined speech Brain-Computer Interface involves the spatial and frequency tuning of neural activity
Abstract Brain-Computer Interfaces (BCI) will revolutionize the way people with impaired
speech production can communicate. While recent studies confirm the possibility of …
speech production can communicate. While recent studies confirm the possibility of …