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Prosodic categories in speech are acoustically multidimensional: evidence from dimension-based statistical learning

View ORCID ProfileKyle Jasmin, Adam Tierney, Lori Holt
doi: https://doi.org/10.1101/2021.01.18.427088
Kyle Jasmin
1Birkbeck, University of London
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  • For correspondence: k.jasmin@bbk.ac.uk
Adam Tierney
1Birkbeck, University of London
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Lori Holt
2Carnegie Mellon University
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Abstract

Segmental speech units (e.g. phonemes) are described as multidimensional categories wherein perception involves contributions from multiple acoustic input dimensions, and the relative perceptual weights of these dimensions respond dynamically to context. Can prosodic aspects of speech spanning multiple phonemes, syllables or words be characterized similarly? Here we investigated the relative contribution of two acoustic dimensions to word emphasis. Participants categorized instances of a two-word phrase pronounced with typical covariation of fundamental frequency (F0) and duration, and in the context of an artificial ‘accent’ in which F0 and duration covaried atypically. When categorizing ‘accented’ speech, listeners rapidly down-weighted the secondary dimension (duration) while continuing to rely on the primary dimension (F0). This clarifies two core theoretical questions: 1) prosodic categories are signalled by multiple input acoustic dimensions and 2) perceptual cue weights for prosodic categories dynamically adapt to local regularities of speech input.

Highlights

  • Prosodic categories are signalled by multiple acoustic dimensions.

  • The influence of these dimensions flexibly adapts to changes in local speech input.

  • This adaptive plasticity may help tune perception to atypical accented speech.

  • Similar learning models may account for segmental and suprasegmental flexibility.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted January 18, 2021.
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Prosodic categories in speech are acoustically multidimensional: evidence from dimension-based statistical learning
Kyle Jasmin, Adam Tierney, Lori Holt
bioRxiv 2021.01.18.427088; doi: https://doi.org/10.1101/2021.01.18.427088
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Prosodic categories in speech are acoustically multidimensional: evidence from dimension-based statistical learning
Kyle Jasmin, Adam Tierney, Lori Holt
bioRxiv 2021.01.18.427088; doi: https://doi.org/10.1101/2021.01.18.427088

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