Acoustic and language-specific sources for phonemic abstraction from speech
Anna Mai (),
Stephanie Riès,
Sharona Ben-Haim,
Jerry J. Shih and
Timothy Q. Gentner
Additional contact information
Anna Mai: University of California, San Diego, Linguistics
Stephanie Riès: San Diego State University, School of Speech, Language, and Hearing Sciences
Sharona Ben-Haim: University of California, San Diego, Neurological Surgery
Jerry J. Shih: University of California, San Diego, Neurosciences
Timothy Q. Gentner: University of California, San Diego, Psychology
Nature Communications, 2024, vol. 15, issue 1, 1-19
Abstract:
Abstract Spoken language comprehension requires abstraction of linguistic information from speech, but the interaction between auditory and linguistic processing of speech remains poorly understood. Here, we investigate the nature of this abstraction using neural responses recorded intracranially while participants listened to conversational English speech. Capitalizing on multiple, language-specific patterns where phonological and acoustic information diverge, we demonstrate the causal efficacy of the phoneme as a unit of analysis and dissociate the unique contributions of phonemic and spectrographic information to neural responses. Quantitive higher-order response models also reveal that unique contributions of phonological information are carried in the covariance structure of the stimulus-response relationship. This suggests that linguistic abstraction is shaped by neurobiological mechanisms that involve integration across multiple spectro-temporal features and prior phonological information. These results link speech acoustics to phonology and morphosyntax, substantiating predictions about abstractness in linguistic theory and providing evidence for the acoustic features that support that abstraction.
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-44844-9
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DOI: 10.1038/s41467-024-44844-9
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