Musical training alters neural processing of tones and vowels in classic Chinese poems

Z Zhang, H Zhang, W Sommer, X Yang, Z Wei, W Li - Brain and Cognition, 2023 - Elsevier
Z Zhang, H Zhang, W Sommer, X Yang, Z Wei, W Li
Brain and Cognition, 2023Elsevier
Long-term rigorous musical training promotes various aspects of spoken language
processing. However, it is unclear whether musical training provides an advantage in
recognizing segmental and suprasegmental information of spoken language. We used
vowel and tone violations in spoken unfamiliar seven-character quatrains and a rhyming
judgment task to investigate the effects of musical training on tone and vowel processing by
recording ERPs. Compared with non-musicians, musicians were more accurate and …
Abstract
Long-term rigorous musical training promotes various aspects of spoken language processing. However, it is unclear whether musical training provides an advantage in recognizing segmental and suprasegmental information of spoken language. We used vowel and tone violations in spoken unfamiliar seven-character quatrains and a rhyming judgment task to investigate the effects of musical training on tone and vowel processing by recording ERPs. Compared with non-musicians, musicians were more accurate and responded faster to incorrect than correct tones. Musicians showed larger P2 components in their ERPs than non-musicians during both tone and vowel processing, revealing increased focused attention on sounds. Both groups showed enhanced N400 and LPC for incorrect vowels (vs. correct vowels) but non-musicians showed an additional P2 effect for vowel violations. Moreover, both groups showed enhanced LPC for incorrect tones (vs. correct tones) but only non-musicians showed an additional N400 effect for tone violations. These results indicate that vowel/tone processing is less effortful for musicians (vs. non-musicians). Our study suggests that long-term musical training facilitates speech tone and vowel processing in a tonal language environment by increasing the attentional focus on speech and reducing demands for detecting incorrect vowels and integration costs for tone changes.
Elsevier
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