Abstract
Listeners regularly comprehend continuous speech despite noisy conditions. Previous studies show that neural tracking of speech degrades under noise, predicts comprehension, and increases for non-native listeners. We test the hypothesis that listeners similarly increase tracking for both L2 and noisy L1 speech, after adjusting for comprehension. Twenty-four Chinese-English bilinguals underwent EEG while listening to one hour of an audiobook, mixed with three levels of noise, in Mandarin and English and answered comprehension questions. We estimated tracking of the speech envelope in EEG for each one-minute segment using the multivariate temporal response function (mTRF). Contrary to our prediction, L2 tracking was significantly lower than L1, while L1 tracking significantly increased with noise maskers without reducing comprehension. However, greater L2 proficiency was positively associated with greater L2 tracking. We discuss how studies of speech envelope tracking using noise and bilingualism might be reconciled through a focus on exerted rather than demanded effort.
Original language | English (US) |
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Article number | 105128 |
Journal | Brain and Language |
Volume | 230 |
DOIs | |
State | Published - Jul 2022 |
Funding
The study was supported by the Open Grant of State Key Laboratory of Cognitive Neuroscience and Learning to Benjamin D. Zinszer, and the National Natural Science Foundation of China (31871097) to Taomei Guo. We are grateful to Sarah Campbell, Priyanka Deshmane, and Jacie McHaney for their assistance with stimulus preparation, Rachel Reetzke and Heather Dial for their consultation in planning the project, to Yingying Sun, Qianwen Chang, and Zeping Liu for their effort in data collection, and to Man Zhang for her generous help in analyzing EEG data.
Keywords
- Continuous speech
- L2 proficiency
- Speech perception in noise
- mTRF
ASJC Scopus subject areas
- Experimental and Cognitive Psychology
- Language and Linguistics
- Linguistics and Language
- Cognitive Neuroscience
- Speech and Hearing