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 …

A high-performance speech neuroprosthesis

FR Willett, EM Kunz, C Fan, DT Avansino, GH Wilson… - Nature, 2023 - nature.com
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 …

Decoding speech perception from non-invasive brain recordings

A Défossez, C Caucheteux, J Rapin, O Kabeli… - Nature Machine …, 2023 - nature.com
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 …

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 …

Representation of internal speech by single neurons in human supramarginal gyrus

SK Wandelt, DA Bjånes, K Pejsa, B Lee, C Liu… - Nature human …, 2024 - nature.com
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 …

Machine translation of cortical activity to text with an encoder–decoder framework

JG Makin, DA Moses, EF Chang - Nature neuroscience, 2020 - nature.com
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 …

Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces

T Kim, Y Shin, K Kang, K Kim, G Kim, Y Byeon… - Nature …, 2022 - nature.com
A wearable silent speech interface (SSI) is a promising platform that enables verbal
communication without vocalization. The most widely studied methodology for SSI focuses …

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 …

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 …