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] 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 …

Decoding four different sound-categories in the auditory cortex using functional near-infrared spectroscopy

KS Hong, H Santosa - Hearing research, 2016 - Elsevier
The ability of the auditory cortex in the brain to distinguish different sounds is important in
daily life. This study investigated whether activations in the auditory cortex caused by …

Dataset of speech production in intracranial electroencephalography

M Verwoert, MC Ottenhoff, S Goulis, AJ Colon… - Scientific data, 2022 - nature.com
Speech production is an intricate process involving a large number of muscles and cognitive
processes. The neural processes underlying speech production are not completely …

Online classification of imagined speech using functional near-infrared spectroscopy signals

AR Sereshkeh, R Yousefi, AT Wong… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Most brain–computer interfaces (BCIs) based on functional near-infrared
spectroscopy (fNIRS) require that users perform mental tasks such as motor imagery, mental …

A bimodal deep learning architecture for EEG-fNIRS decoding of overt and imagined speech

C Cooney, R Folli, D Coyle - IEEE Transactions on Biomedical …, 2021 - ieeexplore.ieee.org
Objective: Brain-computer interfaces (BCI) studies are increasingly leveraging different
attributes of multiple signal modalities simultaneously. Bimodal data acquisition protocols …

Classification of mental tasks in the prefrontal cortex using fNIRS

C Herff, D Heger, F Putze, J Hennrich… - 2013 35th Annual …, 2013 - ieeexplore.ieee.org
Functional near infrared spectroscopy (fNIRS) is rapidly gaining interest in both the
Neuroscience, as well as the Brain-Computer-Interface (BCI) community. Despite these …

Using fNIRS to measure mental workload in the real world

EM Peck, D Afergan, BF Yuksel, F Lalooses… - Advances in …, 2014 - Springer
In the past decade, functional near-infrared spectroscopy (fNIRS) has seen increasing use
as a non-invasive brain sensing technology. Using optical signals to approximate blood …

[HTML][HTML] 基于言语想象的脑机交互关键技术

艳鹏刘, 安民龚, 鹏丁, 磊赵, 谦钱… - Sheng Wu Yi Xue …, 2022 - ncbi.nlm.nih.gov
言语表达是一种人类重要的高级认知行为, 该行为的实现与人的大脑活动密切相关,
真实的言语表达和言语想象都能够激活部分相同的脑区, 因此言语想象成为一种脑机交互的 …