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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 …
Semantic reconstruction of continuous language from non-invasive brain recordings
A brain–computer interface that decodes continuous language from non-invasive recordings
would have many scientific and practical applications. Currently, however, non-invasive …
would have many scientific and practical applications. Currently, however, non-invasive …
Speech synthesis from neural decoding of spoken sentences
Technology that translates neural activity into speech would be transformative for people
who are unable to communicate as a result of neurological impairments. Decoding speech …
who are unable to communicate as a result of neurological impairments. Decoding speech …
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 …
The multivariate temporal response function (mTRF) toolbox: a MATLAB toolbox for relating neural signals to continuous stimuli
Understanding how brains process sensory signals in natural environments is one of the key
goals of twenty-first century neuroscience. While brain imaging and invasive …
goals of twenty-first century neuroscience. While brain imaging and invasive …
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 …
Inferring imagined speech using EEG signals: a new approach using Riemannian manifold features
CH Nguyen, GK Karavas… - Journal of neural …, 2017 - iopscience.iop.org
Objective. In this paper, we investigate the suitability of imagined speech for brain–computer
interface (BCI) applications. Approach. A novel method based on covariance matrix …
interface (BCI) applications. Approach. A novel method based on covariance matrix …
Speech synthesis from ECoG using densely connected 3D convolutional neural networks
Objective. Direct synthesis of speech from neural signals could provide a fast and natural
way of communication to people with neurological diseases. Invasively-measured brain …
way of communication to people with neurological diseases. Invasively-measured brain …
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 …