Neurolinguistics research advancing development of a direct-speech brain-computer interface
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 …
imagined speech, then processes and decodes these signals to produce a linguistic output …
Automatic speech recognition from neural signals: a focused review
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 …
real-life applications and devices. They have become a part of our daily life. However …
Biosignal-based spoken communication: A survey
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 …
to acoustics. These biosignals-stemming from the articulators, the articulator muscle …
Decoding imagined and spoken phrases from non-invasive neural (MEG) signals
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 …
and the oral articulators, where the intention of linguistic concepts is transformed into …
Evaluation of hyperparameter optimization in machine and deep learning methods for decoding imagined speech EEG
Classification of electroencephalography (EEG) signals corresponding to imagined speech
production is important for the development of a direct-speech brain–computer interface (DS …
production is important for the development of a direct-speech brain–computer interface (DS …
Speech recognition with no speech or with noisy speech
The performance of automatic speech recognition systems (ASR) degrades in the presence
of noisy speech. This paper demonstrates that using electroencephalography (EEG) can …
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 …
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 …
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
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 …
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
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 …
based on EEG signals and to represent a new EEG-based feature extraction. In this paper …