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 …

Machine-Learning Methods for Speech and Handwriting Detection Using Neural Signals: A Review

O Sen, AM Sheehan, PR Raman, KS Khara, A Khalifa… - Sensors, 2023 - mdpi.com
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 …

Towards direct speech synthesis from ECoG: A pilot study

C Herff, G Johnson, L Diener, J Shih… - 2016 38th Annual …, 2016 - ieeexplore.ieee.org
Most current Brain-Computer Interfaces (BCIs) achieve high information transfer rates using
spelling paradigms based on stimulus-evoked potentials. Despite the success of this …

Brain-computer interface technology for speech recognition: A review

MM AlSaleh, M Arvaneh, H Christensen… - 2016 Asia-Pacific …, 2016 - ieeexplore.ieee.org
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 …

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 …

Towards continuous speech recognition for BCI

C Herff, A de Pesters, D Heger, P Brunner… - … Interface Research: A …, 2017 - Springer
For the last two decades, brain-computer interface (BCI) research has worked towards
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

O Banerjee, D Govind - International Journal of Speech Technology, 2024 - Springer
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 …

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 …

Mandarin Tone Recognition from Brain Dynamics

SR Yang, CT Lin, TP Jung… - 2021 International …, 2021 - ieeexplore.ieee.org
The development of technologies that enable patients with speech disorders to
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 …