Relating EEG to continuous speech using deep neural networks: a review.
Objective. When a person listens to continuous speech, a corresponding response is elicited
in the brain and can be recorded using electroencephalography (EEG). Linear models are …
in the brain and can be recorded using electroencephalography (EEG). Linear models are …
Recent advances and current trends in brain‐computer interface research and their applications
M Zabcikova, Z Koudelkova, R Jasek… - International Journal …, 2022 - Wiley Online Library
Brain‐computer interface (BCI) provides direct communication between the brain and an
external device. BCI systems have become a trendy field of research in recent years. These …
external device. BCI systems have become a trendy field of research in recent years. These …
[HTML][HTML] Decoding the auditory brain with canonical component analysis
The relation between a stimulus and the evoked brain response can shed light on
perceptual processes within the brain. Signals derived from this relation can also be …
perceptual processes within the brain. Signals derived from this relation can also be …
STAnet: A spatiotemporal attention network for decoding auditory spatial attention from EEG
Objective: Humans are able to localize the source of a sound. This enables them to direct
attention to a particular speaker in a cocktail party. Psycho-acoustic studies show that the …
attention to a particular speaker in a cocktail party. Psycho-acoustic studies show that the …
[HTML][HTML] Natural infant-directed speech facilitates neural tracking of prosody
Infants prefer to be addressed with infant-directed speech (IDS). IDS benefits language
acquisition through amplified low-frequency amplitude modulations. It has been reported …
acquisition through amplified low-frequency amplitude modulations. It has been reported …
Comparison of two-talker attention decoding from EEG with nonlinear neural networks and linear methods
Auditory attention decoding (AAD) through a brain-computer interface has had a flowering of
developments since it was first introduced by Mesgarani and Chang (2012) using …
developments since it was first introduced by Mesgarani and Chang (2012) using …
A comparison of regularization methods in forward and backward models for auditory attention decoding
DDE Wong, SA Fuglsang, J Hjortkjær… - Frontiers in …, 2018 - frontiersin.org
The decoding of selective auditory attention from noninvasive electroencephalogram (EEG)
data is of interest in brain computer interface and auditory perception research. The current …
data is of interest in brain computer interface and auditory perception research. The current …
EEG-based detection of the locus of auditory attention with convolutional neural networks
In a multi-speaker scenario, the human auditory system is able to attend to one particular
speaker of interest and ignore the others. It has been demonstrated that it is possible to use …
speaker of interest and ignore the others. It has been demonstrated that it is possible to use …
Egocentric auditory attention localization in conversations
In a noisy conversation environment such as a dinner party, people often exhibit selective
auditory attention, or the ability to focus on a particular speaker while tuning out others …
auditory attention, or the ability to focus on a particular speaker while tuning out others …
Decoding of the speech envelope from EEG using the VLAAI deep neural network
To investigate the processing of speech in the brain, commonly simple linear models are
used to establish a relationship between brain signals and speech features. However, these …
used to establish a relationship between brain signals and speech features. However, these …