期刊
JOURNAL OF NEUROSCIENCE
卷 42, 期 39, 页码 7442-7453出版社
SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.0259-22.2022
关键词
acoustic hearing; linguistic representations; natural speech; neural coding
资金
- European Research Council
- European Union [637424]
- Research Foundation Flanders [SB1S86118N, SB 1SA0620N, 1290821N]
When listening to continuous speech, the human brain can track both acoustic and linguistic features, but they have different impacts on speech understanding. Increasing speech rate leads to more acoustic information but makes linguistic tracking more challenging. Linguistic neural tracking may be a more direct predictor of speech understanding.
When listening to continuous speech, the human brain can track features of the presented speech signal. It has been shown that neural tracking of acoustic features is a prerequisite for speech understanding and can predict speech understanding in controlled circumstances. However, the brain also tracks linguistic features of speech, which may be more directly related to speech understanding. We investigated acoustic and linguistic speech processing as a function of varying speech understanding by manipulating the speech rate. In this paradigm, acoustic and linguistic speech processing is affected simultaneously but in opposite directions: When the speech rate increases, more acoustic information per second is present. In contrast, the tracking of linguistic information becomes more challenging when speech is less intelligible at higher speech rates. We measured the EEG of 18 participants (4 male) who listened to speech at various speech rates. As expected and confirmed by the behavioral results, speech understanding decreased with increasing speech rate. Accordingly, linguistic neural tracking decreased with increasing speech rate, but acoustic neural tracking increased. This indicates that neural tracking of linguistic representations can capture the gradual effect of decreasing speech understanding. In addition, increased acoustic neural tracking does not necessarily imply better speech understanding. This suggests that, although more challenging to measure because of the low signal-to-noise ratio, linguistic neural tracking may be a more direct predictor of speech understanding.
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