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Decoding Inner Speech Using Electrocorticography: Progress and Challenges Toward
a Speech Prosthesis
#MMPMID29977189
Martin S
; Iturrate I
; Millán JDR
; Knight RT
; Pasley BN
Front Neurosci
2018[]; 12
(?): 422
PMID29977189
show ga
Certain brain disorders resulting from brainstem infarcts, traumatic brain
injury, cerebral palsy, stroke, and amyotrophic lateral sclerosis, limit verbal
communication despite the patient being fully aware. People that cannot
communicate due to neurological disorders would benefit from a system that can
infer internal speech directly from brain signals. In this review article, we
describe the state of the art in decoding inner speech, ranging from early
acoustic sound features, to higher order speech units. We focused on intracranial
recordings, as this technique allows monitoring brain activity with high spatial,
temporal, and spectral resolution, and therefore is a good candidate to
investigate inner speech. Despite intense efforts, investigating how the human
cortex encodes inner speech remains an elusive challenge, due to the lack of
behavioral and observable measures. We emphasize various challenges commonly
encountered when investigating inner speech decoding, and propose potential
solutions in order to get closer to a natural speech assistive device.