[HTML][HTML] Neurolinguistics research advancing development of a direct-speech brain-computer interface

C Cooney, R Folli, D Coyle - IScience, 2018 - cell.com
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 …

[HTML][HTML] Automatic speech recognition from neural signals: a focused review

C Herff, T Schultz - Frontiers in neuroscience, 2016 - frontiersin.org
Speech interfaces have become widely accepted and are nowadays integrated in various
real-life applications and devices. They have become a part of our daily life. However …

Biosignal-based spoken communication: A survey

T Schultz, M Wand, T Hueber… - … on Audio, Speech …, 2017 - ieeexplore.ieee.org
Speech is a complex process involving a wide range of biosignals, including but not limited
to acoustics. These biosignals-stemming from the articulators, the articulator muscle …

[HTML][HTML] Decoding imagined and spoken phrases from non-invasive neural (MEG) signals

D Dash, P Ferrari, J Wang - Frontiers in neuroscience, 2020 - frontiersin.org
Speech production is a hierarchical mechanism involving the synchronization of the brain
and the oral articulators, where the intention of linguistic concepts is transformed into …

[HTML][HTML] Evaluation of hyperparameter optimization in machine and deep learning methods for decoding imagined speech EEG

C Cooney, A Korik, R Folli, D Coyle - Sensors, 2020 - mdpi.com
Classification of electroencephalography (EEG) signals corresponding to imagined speech
production is important for the development of a direct-speech brain–computer interface (DS …

Speech recognition with no speech or with noisy speech

G Krishna, C Tran, J Yu… - ICASSP 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
The performance of automatic speech recognition systems (ASR) degrades in the presence
of noisy speech. This paper demonstrates that using electroencephalography (EEG) can …

Identification of vowels in consonant–vowel–consonant words from speech imagery based EEG signals

S Chengaiyan, AS Retnapandian, K Anandan - Cognitive Neurodynamics, 2020 - Springer
Retrieval of unintelligible speech is a basic need for speech impaired and is under research
for several decades. But retrieval of random words from thoughts needs a substantial and …

[PDF][PDF] Quadcopter robot control based on hybrid brain–computer interface system

C Chen, P Zhou, AN Belkacem, L Lu, R Xu… - Sensors and …, 2020 - academia.edu
Brain–computer interface (BCI) technology is a direct human–environment interaction
system mostly based on translating brain activity into relevant commands. This technology …

[HTML][HTML] Opportunities, pitfalls and trade-offs in designing protocols for measuring the neural correlates of speech

C Cooney, R Folli, D Coyle - Neuroscience & Biobehavioral Reviews, 2022 - Elsevier
Decoding speech and speech-related processes directly from the human brain has
intensified in studies over recent years as such a decoder has the potential to positively …

Investigating the neural correlates of imagined speech: An EEG-based connectivity analysis

MA Bakhshali, M Khademi… - Digital Signal …, 2022 - Elsevier
The main objectives of this work are to design a framework for imagined speech recognition
based on EEG signals and to represent a new EEG-based feature extraction. In this paper …