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Processing of Self-Repairs in Stuttered and Non-Stuttered Speech
Matthew W Lowder1, Nathan D Maxfield2, Fernanda Ferreira3
1Department of Psychology, University of Richmond.
Language, Cognition and Neuroscience
|September 21, 2020
Summary
Listeners can predict upcoming words using typical speech disfluencies. However, stuttering disrupts this predictive ability, reducing listener prediction accuracy. This impacts how we understand speech processing.
Area of Science:
- Psycholinguistics
- Speech Production and Perception
Background:
- Listeners utilize speech disfluencies for predictive processing of linguistic input.
- The impact of atypical disfluencies, such as stuttering, on this predictive ability is not well understood.
Purpose of the Study:
- To investigate how stuttering affects listeners' predictive processing of speech.
- To determine if atypical disfluencies disrupt the prediction of upcoming linguistic information.
Main Methods:
- A visual-world eye-tracking experiment was conducted.
- Participants heard sentences with self-repair disfluencies from a speaker who either stuttered or did not stutter.
- Eye movements were tracked while participants viewed visual displays with predictable target entities.
Main Results:
- Listeners showed robust predictive processing of self-repair disfluencies, consistent with prior research.
- The magnitude of the predictive effect was significantly reduced when the speaker stuttered compared to when they did not.
- Stuttering impaired the listeners' ability to predict upcoming words.
Conclusions:
- Listeners' predictive processing of speech is negatively affected by stuttering.
- The ability to model a speaker's production system is disrupted when the speaker stutters.
- Atypical disfluencies interfere with the predictive mechanisms used in speech comprehension.
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