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 …
A neural speech decoding framework leveraging deep learning and speech synthesis
Decoding human speech from neural signals is essential for brain–computer interface (BCI)
technologies that aim to restore speech in populations with neurological deficits. However, it …
technologies that aim to restore speech in populations with neurological deficits. However, it …
Online speech synthesis using a chronically implanted brain–computer interface in an individual with ALS
Brain–computer interfaces (BCIs) that reconstruct and synthesize speech using brain activity
recorded with intracranial electrodes may pave the way toward novel communication …
recorded with intracranial electrodes may pave the way toward novel communication …
Dataset of speech production in intracranial electroencephalography
Speech production is an intricate process involving a large number of muscles and cognitive
processes. The neural processes underlying speech production are not completely …
processes. The neural processes underlying speech production are not completely …
The nested hierarchy of overt, mouthed, and imagined speech activity evident in intracranial recordings
Recent studies have demonstrated that it is possible to decode and synthesize various
aspects of acoustic speech directly from intracranial measurements of electrophysiological …
aspects of acoustic speech directly from intracranial measurements of electrophysiological …
Decoding articulatory and phonetic components of naturalistic continuous speech from the distributed language network
Objective. The speech production network relies on a widely distributed brain network.
However, research and development of speech brain–computer interfaces (speech-BCIs) …
However, research and development of speech brain–computer interfaces (speech-BCIs) …
Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models
J Berezutskaya, ZV Freudenburg… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Development of brain–computer interface (BCI) technology is key for enabling
communication in individuals who have lost the faculty of speech due to severe motor …
communication in individuals who have lost the faculty of speech due to severe motor …
Data augmentation for invasive brain–computer interfaces based on stereo-electroencephalography (SEEG)
Objective. Deep learning is increasingly used for brain–computer interfaces (BCIs).
However, the quantity of available data is sparse, especially for invasive BCIs. Data …
However, the quantity of available data is sparse, especially for invasive BCIs. Data …
Synthesizing speech by decoding intracortical neural activity from dorsal motor cortex
M Wairagkar, LR Hochberg… - 2023 11th …, 2023 - ieeexplore.ieee.org
Losing the ability to speak due to brain injury or neurodegenerative diseases such as ALS
can be debilitating. Brain-computer interfaces could potentially provide affected individuals a …
can be debilitating. Brain-computer interfaces could potentially provide affected individuals a …
A Review of Motor Brain-Computer Interfaces using Intracranial Electroencephalography based on Surface Electrodes and Depth Electrodes
Brain-computer interfaces (BCIs) provide a communication interface between the brain and
external devices and have the potential to restore communication and control in patients …
external devices and have the potential to restore communication and control in patients …