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 …

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 …

Reconstructing intended speech from neural activity using brain-computer interfaces holds
great promises for people with severe speech production deficits. While decoding overt …

Use of artificial intelligence (AI) is a burgeoning field in otolaryngology and the
communication sciences. A virtual symposium on the topic was convened from Duke …

Speech production is a complex human function requiring continuous feedforward
commands together with reafferent feedback processing. These processes are carried out …

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 …

The cortical grasp network encodes planning and execution of grasps and processes
spoken and written aspects of language. High-level cortical areas within this network are …

Speech production is an intricate process involving a large number of muscles and cognitive
processes. The neural processes underlying speech production are not completely …

Recent studies have demonstrated that it is possible to decode and synthesize various
aspects of acoustic speech directly from intracranial measurements of electrophysiological …

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 …