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 …
[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 …
Decoding four different sound-categories in the auditory cortex using functional near-infrared spectroscopy
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 …
daily life. This study investigated whether activations in the auditory cortex caused by …
Dataset of speech production in intracranial electroencephalography
Speech production is an intricate process involving a large number of muscles and cognitive
processes. The neural processes underlying speech production are not completely …
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 …
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
Objective: Brain-computer interfaces (BCI) studies are increasingly leveraging different
attributes of multiple signal modalities simultaneously. Bimodal data acquisition protocols …
attributes of multiple signal modalities simultaneously. Bimodal data acquisition protocols …
Classification of mental tasks in the prefrontal cortex using fNIRS
Functional near infrared spectroscopy (fNIRS) is rapidly gaining interest in both the
Neuroscience, as well as the Brain-Computer-Interface (BCI) community. Despite these …
Neuroscience, as well as the Brain-Computer-Interface (BCI) community. Despite these …
Using fNIRS to measure mental workload in the real world
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 …
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 …
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 …