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 …

Introduction While the ethical significance of caregivers in neurological research has
increasingly been recognized, the role of caregivers in brain-computer interface (BCI) …

Objective: This study investigates speech decoding from neural signals captured by
intracranial electrodes. Most prior works can only work with electrodes on a 2D grid (ie …

Neuroprosthetics have demonstrated the potential to decode speech from intracranial brain
signals, and hold promise for one day returning the ability to speak to those who have lost it …

Parkinson's disease (PD) is a neurodegenerative condition with constantly increasing
prevalence rates, affecting strongly life quality in terms of neuromotor and cognitive …

Speech is one of the most important human biosignals. However, only some speech
production characteristics are fully understood, which are required for a successful speech …

Objective. Brain–computer interfaces can restore various forms of communication in
paralyzed patients who have lost their ability to articulate intelligible speech. This study …

Previous initial research has already been carried out to propose speech-based BCI using
brain signals (eg non-invasive EEG and invasive sEEG/ECoG), but there is a lack of …

Abstract Abstract—Objective: Brain-computer interfaces (BCIs) are technologies that bypass
damaged or disrupted neural pathways and directly decode brain signals to perform …

Introduction Language impairments often result from severe neurological disorders, driving
the development of neural prosthetics utilizing electrophysiological signals to restore …