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 …
Machine-Learning Methods for Speech and Handwriting Detection Using Neural Signals: A Review
Brain–Computer Interfaces (BCIs) have become increasingly popular in recent years due to
their potential applications in diverse fields, ranging from the medical sector (people with …
their potential applications in diverse fields, ranging from the medical sector (people with …
Towards direct speech synthesis from ECoG: A pilot study
Most current Brain-Computer Interfaces (BCIs) achieve high information transfer rates using
spelling paradigms based on stimulus-evoked potentials. Despite the success of this …
spelling paradigms based on stimulus-evoked potentials. Despite the success of this …
Brain-computer interface technology for speech recognition: A review
This paper presents an overview of the studies that have been conducted with the purpose
of understanding the use of brain signals as input to a speech recogniser. The studies have …
of understanding the use of brain signals as input to a speech recogniser. The studies have …
Linguistic representation of vowels in speech imagery EEG
T Nitta, J Horikawa, Y Iribe, R Taguchi… - Frontiers in Human …, 2023 - frontiersin.org
Speech imagery recognition from electroencephalograms (EEGs) could potentially become
a strong contender among non-invasive brain-computer interfaces (BCIs). In this report, first …
a strong contender among non-invasive brain-computer interfaces (BCIs). In this report, first …
Towards continuous speech recognition for BCI
For the last two decades, brain-computer interface (BCI) research has worked towards
practical and useful applications for communication and control. Yet, many BCI …
practical and useful applications for communication and control. Yet, many BCI …
Investigating the role of electroencephalogram based rhythmic bands: applications in imagined speech classification and epileptic seizure severity detection
The objective of this paper is to explore the significance of rhythmic bands for imagined
speech classification and the severity detection of epileptic seizures from …
speech classification and the severity detection of epileptic seizures from …
Brain signal recognition using deep learning
S Datta - 2022 - bura.brunel.ac.uk
Brain Computer Interface (BCI) has the potential to offer a new generation of applications
independent of muscular activity and controlled by the human brain. Brain imaging …
independent of muscular activity and controlled by the human brain. Brain imaging …
Mandarin Tone Recognition from Brain Dynamics
The development of technologies that enable patients with speech disorders to
communicate is critical. Understanding the neural processing of natural speech processing …
communicate is critical. Understanding the neural processing of natural speech processing …
[PDF][PDF] Speech Processes for Brain-Computer Interfaces
CE Herff - 2016 - core.ac.uk
Speech interfaces have become widely used and are integrated in many applications and
devices. However, speech interfaces require the user to produce intelligible speech, which …
devices. However, speech interfaces require the user to produce intelligible speech, which …