Abstract
Statistical learning is the ability to extract patterned information from continuous sensory signals. Recent evidence suggests that auditory-motor mechanisms play an important role in auditory statistical learning from speech signals. The question remains whether auditory-motor mechanisms support such learning generally or in a domain-specific manner. In Experiment 1, we tested the specificity of motor processes contributing to learning patterns from speech sequences. Participants either whispered or clapped their hands while listening to structured speech. In Experiment 2, we focused on auditory specificity, testing whether whispering equally affects learning patterns from speech and non-speech sequences. Finally, in Experiment 3, we examined whether learning patterns from speech and non-speech sequences are correlated. Whispering had a stronger effect than clapping on learning patterns from speech sequences in Experiment 1. Moreover, whispering impaired statistical learning more strongly from speech than non-speech sequences in Experiment 2. Interestingly, while participants in the non-speech tasks spontaneously synchronized their motor movements with the auditory stream more than participants in the speech tasks, the effect of the motor movements on learning was stronger in the speech domain. Finally, no correlation between speech and non-speech learning was observed. Overall, our findings support the idea that learning statistical patterns from speech versus non-speech relies on segregated mechanisms, and that the speech motor system contributes to auditory statistical learning in a highly specific manner.
Reference78 articles.
1. Gorilla in our midst: An online behavioral experiment builder;Behavior Research Methods,2020
2. Statistical learning in typically developing children: the role of age and speed of stimulus presentation;Developmental Science,2011
3. The coupling between auditory and motor cortices is rate-restricted: Evidence for an intrinsic speech-motor rhythm;Science Advances,2018
4. Spontaneous synchronization to speech reveals neural mechanisms facilitating language learning;Nature Neuroscience 2019 22: 4,2019
5. Mixed-effects modeling with crossed random effects for subjects and items;Journal of Memory and Language,2008
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