Over the past decade, many researchers have come up with different implementations of
systems for decoding covert or imagined speech from EEG (electroencephalogram). They …

This review summarises the status of silent speech interface (SSI) research. SSIs rely on non-
acoustic biosignals generated by the human body during speech production to enable …

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

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 …

A direct-speech brain-computer interface (DS-BCI) acquires neural signals corresponding to
imagined speech, then processes and decodes these signals to produce a linguistic output …

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

Brain-computer interfaces (BCIs) allow users to communicate directly with external devices
via their brain signals. Recently, BCIs, and wearable computers in particular, have been …

Objective. A current challenge of neurotechnologies is to develop speech brain-computer
interfaces aiming at restoring communication in people unable to speak. To achieve a proof …

Importance Developing more and better diagnostic and therapeutic tools for central nervous
system disorders is an ethical imperative. Human research with neural devices is important …

Brain–computer interface (BCI) can obtain text information by decoding language induced
electroencephalogram (EEG) signals, so as to restore communication ability for patients with …