The speech neuroprosthesis

AB Silva, KT Littlejohn, JR Liu, DA Moses… - Nature Reviews …, 2024 - nature.com
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 …

[HTML][HTML] Brain-computer interface: applications to speech decoding and synthesis to augment communication

S Luo, Q Rabbani, NE Crone - Neurotherapeutics, 2022 - Elsevier
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 …

Semantic reconstruction of continuous language from non-invasive brain recordings

J Tang, A LeBel, S Jain, AG Huth - Nature Neuroscience, 2023 - nature.com
A brain–computer interface that decodes continuous language from non-invasive recordings
would have many scientific and practical applications. Currently, however, non-invasive …

Speech synthesis from neural decoding of spoken sentences

GK Anumanchipalli, J Chartier, EF Chang - Nature, 2019 - nature.com
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 …

Imagined speech can be decoded from low-and cross-frequency intracranial EEG features

T Proix, J Delgado Saa, A Christen, S Martin… - Nature …, 2022 - nature.com
Reconstructing intended speech from neural activity using brain-computer interfaces holds
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

MJ Crosse, GM Di Liberto, A Bednar… - Frontiers in human …, 2016 - frontiersin.org
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 …

Towards reconstructing intelligible speech from the human auditory cortex

H Akbari, B Khalighinejad, JL Herrero, AD Mehta… - Scientific reports, 2019 - nature.com
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 …

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 …

Speech synthesis from ECoG using densely connected 3D convolutional neural networks

M Angrick, C Herff, E Mugler, MC Tate… - Journal of neural …, 2019 - iopscience.iop.org
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 …

Brain-to-text: decoding spoken phrases from phone representations in the brain

C Herff, D Heger, A De Pesters, D Telaar… - Frontiers in …, 2015 - frontiersin.org
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 …