Search Results for author:
Found 4 papers, 1 papers with code
The role of vowel and consonant onsets in neural tracking of natural speech
Our results show that vowel-consonant onsets outperform onsets of any phone in both tasks, which suggests that neural tracking of the vowel vs. consonant exists in the EEG to some degree.
Relating EEG to continuous speech using deep neural networks: a review
Linear models are presently used to relate the EEG recording to the corresponding speech signal.
Extracting Different Levels of Speech Information from EEG Using an LSTM-Based Model
Decoding the speech signal that a person is listening to from the human brain via electroencephalography (EEG) can help us understand how our auditory system works.
Predicting speech intelligibility from EEG in a non-linear classification paradigm
The accuracy of the model's match/mismatch predictions can be used as a proxy for speech intelligibility without subject-specific (re)training.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
