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 …
Robust neural tracking of linguistic speech representations using a convolutional neural network
Objective. When listening to continuous speech, populations of neurons in the brain track
different features of the signal. Neural tracking can be measured by relating the …
different features of the signal. Neural tracking can be measured by relating the …
Classifying coherent versus nonsense speech perception from EEG using linguistic speech features
When a person listens to natural speech, the relation between features of the speech signal
and the corresponding evoked electroencephalogram (EEG) is indicative of neural …
and the corresponding evoked electroencephalogram (EEG) is indicative of neural …
Decoding Envelope and Frequency-Following EEG Responses to Continuous Speech Using Deep Neural Networks
M Thornton, DP Mandic… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
The electroencephalogram (EEG) offers a non-invasive means by which a listener's auditory
system may be monitored during continuous speech perception. Reliable auditory-EEG …
system may be monitored during continuous speech perception. Reliable auditory-EEG …
Relating EEG recordings to speech using envelope tracking and the speech-FFR
M Thornton, D Mandic… - ICASSP 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
During speech perception, a listener's electroencephalogram (EEG) reflects acoustic-level
processing as well as higher-level cognitive factors such as speech comprehension and …
processing as well as higher-level cognitive factors such as speech comprehension and …
The role of vowel and consonant onsets in neural tracking of natural speech
MJ Monesi, J Vanthornhout… - Journal of Neural …, 2024 - iopscience.iop.org
Objective. To investigate how the auditory system processes natural speech, models have
been created to relate the electroencephalography (EEG) signal of a person listening to …
been created to relate the electroencephalography (EEG) signal of a person listening to …
[PDF][PDF] Enhancing the eeg speech match mismatch tasks with word boundaries
A Soman, V Sinha, S Ganapathy - arXiv preprint arXiv:2307.00366, 2023 - isca-archive.org
Recent studies have shown that the underlying neural mechanisms of human speech
comprehension can be analyzed using a match-mismatch classification of the speech …
comprehension can be analyzed using a match-mismatch classification of the speech …
Auditory EEG decoding challenge for ICASSP 2024
This paper describes the auditory EEG challenge, organized as one of the Signal
Processing Grand Challenges at ICASSP 2024. The challenge provides …
Processing Grand Challenges at ICASSP 2024. The challenge provides …
[PDF][PDF] EEG-based auditory attention detection in cocktail party environment
The cocktail party effect refers to a challenging problem in speech perception where one is
able to selectively attend to one sound source in a noisy and multi-talk environment. The …
able to selectively attend to one sound source in a noisy and multi-talk environment. The …
EEG-Derived Voice Signature for Attended Speaker Detection
\textit {Objective:} Conventional EEG-based auditory attention detection (AAD) is achieved
by comparing the time-varying speech stimuli and the elicited EEG signals. However, in …
by comparing the time-varying speech stimuli and the elicited EEG signals. However, in …