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The speech neuroprosthesis
Loss of speech after paralysis is devastating, but circumventing motor-pathway injury by
directly decoding speech from intact cortical activity has the potential to restore natural …
directly decoding speech from intact cortical activity has the potential to restore natural …
[HTML][HTML] Brain-computer interface: applications to speech decoding and synthesis to augment communication
Damage or degeneration of motor pathways necessary for speech and other movements, as
in brainstem strokes or amyotrophic lateral sclerosis (ALS), can interfere with efficient …
in brainstem strokes or amyotrophic lateral sclerosis (ALS), can interfere with efficient …
A high-performance speech neuroprosthesis
Speech brain–computer interfaces (BCIs) have the potential to restore rapid communication
to people with paralysis by decoding neural activity evoked by attempted speech into text, or …
to people with paralysis by decoding neural activity evoked by attempted speech into text, or …
Decoding speech perception from non-invasive brain recordings
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 …
neuroscience. Invasive devices have recently led to major milestones in this regard: deep …
Imagined speech can be decoded from low-and cross-frequency intracranial EEG features
Reconstructing intended speech from neural activity using brain-computer interfaces holds
great promises for people with severe speech production deficits. While decoding overt …
great promises for people with severe speech production deficits. While decoding overt …
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 …
Machine translation of cortical activity to text with an encoder–decoder framework
A decade after speech was first decoded from human brain signals, accuracy and speed
remain far below that of natural speech. Here we show how to decode the …
remain far below that of natural speech. Here we show how to decode the …
Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces
A wearable silent speech interface (SSI) is a promising platform that enables verbal
communication without vocalization. The most widely studied methodology for SSI focuses …
communication without vocalization. The most widely studied methodology for SSI focuses …
Towards reconstructing intelligible speech from the human auditory cortex
Auditory stimulus reconstruction is a technique that finds the best approximation of the
acoustic stimulus from the population of evoked neural activity. Reconstructing speech from …
acoustic stimulus from the population of evoked neural activity. Reconstructing speech from …
Brain-to-text: decoding spoken phrases from phone representations in the brain
It has long been speculated whether communication between humans and machines based
on natural speech related cortical activity is possible. Over the past decade, studies have …
on natural speech related cortical activity is possible. Over the past decade, studies have …