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Dimension-Based Statistical Learning Affects Both Speech Perception and Production.

Matthew Lehet1, Lori L Holt1

  • 1Department of Psychology and the Center for Neural Basis of Cognition, Carnegie Mellon University.

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|September 27, 2016
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Summary
This summary is machine-generated.

Listeners rapidly adjust their perception and production of speech sounds when exposed to new acoustic patterns. Short-term speech input influences how acoustic cues, like fundamental frequency (F0) and voice onset time (VOT), are weighted in speech perception and production.

Keywords:
CommunicationDimension-based statistical learningLanguage understandingMotor controlPerceptionPerceptual weightingSpeech recognition

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Area of Science:

  • Linguistics
  • Psychology
  • Speech Science

Background:

  • Acoustic dimensions like fundamental frequency (F0) and voice onset time (VOT) signal speech categories.
  • Diagnostic acoustic dimensions carry more perceptual weight in speech categorization.
  • Perceptual weights are adaptable, adjusting rapidly to deviations from long-term language norms, such as foreign accents.

Purpose of the Study:

  • To investigate if rapid adjustments in perceptual weights due to altered speech input affect speech production.
  • To examine the malleability of perceptual weighting of acoustic dimensions in response to short-term auditory experience.

Main Methods:

  • Participants completed a word recognition task with varying correlations between F0 and VOT, including an "artificial accent" condition.
  • Exposure to the artificial accent involved brief, incidental learning of reversed F0 × VOT correlations.
  • Participants were prompted to produce words, allowing for analysis of their speech productions during the task.

Main Results:

  • Brief exposure to the artificial accent led participants to down-weight perceptual reliance on F0.
  • In the artificial accent condition, F0 became a less robust cue to voicing in participants' own speech productions.
  • Statistical regularities in short-term speech input influenced both speech perception and production.

Conclusions:

  • Short-term speech input significantly affects how acoustic dimensions are weighted in both perception and production.
  • The study provides evidence for the dynamic nature of perceptual weighting and its impact on speech motor control.
  • Findings highlight the interplay between auditory learning and vocal production in adapting to linguistic variations.