The role of vowel and consonant onsets in neural tracking of natural speech
Mohammad Jalilpour Monesi, Jonas Vanthornhout, Hugo Van hamme, Tom, Francart

TL;DR
This study investigates how different phonetic features, especially vowel and consonant onsets, are represented in EEG signals during natural speech listening, revealing that vowel-consonant onsets are more strongly tracked than broader phonetic categories.
Contribution
The paper demonstrates that neural tracking of speech in EEG is more closely related to vowel-consonant onsets than to general phonetic classes, providing new insights into speech processing.
Findings
Vowel-consonant onsets outperform general phone onsets in EEG tracking.
Vowel (syllable nucleus) onsets are better related to EEG than syllable onsets.
Neural tracking attributed to broad phonetic classes may originate from vowel-consonant onsets.
Abstract
To investigate how the auditory system processes natural speech, models have been created to relate the electroencephalography (EEG) signal of a person listening to speech to various representations of the speech. Mainly the speech envelope has been used, but also phonetic representations. We investigated to which degree of granularity phonetic representations can be related to the EEG signal. We used recorded EEG signals from 105 subjects while they listened to fairy tale stories. We utilized speech representations, including onset of any phone, vowel-consonant onsets, broad phonetic class (BPC) onsets, and narrow phonetic class (NPC) onsets, and related them to EEG using forward modeling and match-mismatch tasks. In forward modeling, we used a linear model to predict EEG from speech representations. In the match-mismatch task, we trained a long short term memory (LSTM) based model to…
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Taxonomy
TopicsEEG and Brain-Computer Interfaces · Neural dynamics and brain function
