Special Issue
“Speech Brain Computer Interfaces. Recent advances and applications that
go beyond the clinical use”

Abstract Submission ***   Deadline 28 April 2023 ***
Manuscript Submission *** Deadline 30 September 2023 ***

http://bit.ly/40Jf8Vj
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Brain Computer Interfaces (BCI) have already been proposed and used to
provide an alternative communication channel between human brain and the
external world. Although initially used as assistive or rehabilitation
systems for patients mostly in clinical environments, in the last years,
they are also being used even more by healthy people in several
applications. To make BCI technology accessible to a wider range of
people, interfaces must be as simple to use as possible, non-invasive,
while they should not rely on clinical or complex brain acquisition
systems. Most of the research in this area relies on the analysis of
brain signals in situations where the subject imagines making a move
with hands, feet, or tongue, concentrates on a visual pattern, or on an
oddball experiment. However, in the last years, speech as an alternative
modality has been proposed in invasive BCI systems, and even more
recently, in non-invasive applications that analyze recordings of brain
activity to decode covert speech for communication.

The aim of this Research Topic is to present recent advances in
non-invasive BCI systems, applications and methods that utilize silent
(attempted) speech as an alternative modality for communication. We
particularly welcome submissions that will present clinical, as well as
commercial applications of covert speech BCI in different areas.
Submissions can also include but are not limited to signal processing
methods of brain signals for covert speech decoding, deep learning
architectures and networks for accurate recognition of different types
of speech such as phonemes, syllables, or words, robust recognition
systems using transfer learning techniques for greater accuracy on an
extended set of subjects or commands, open access databases for imagery
speech BCI research using commercial and easy to use brain signal
recorders and others.

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Topic Editors

Dr. Athanasios Koutras, Electrical & Computer Engineering Dept.,
University of Peloponnese, Greece
Dr. Jun Wang, University of Texas at Austin, United States
Dr. Andreas Koupparis, The Cyprus Institute of Neurology and Genetics,
Cyprus