This paper introduces a dynamical systems framework for understanding stuttering, conceptualizing it as a qualitative shift in speech articulation driven by a single control parameter. Using a forced Duffing oscillator model, we demonstrate how variations in the excitation frequency can account for transitions be-tween fluent and stuttered speech states. The model generates specific predictions about articulatory behaviors during stuttering, which we test using real-time MRI data of stuttered speech. Analysis of articulatory movements provides empirical support for the model’s predictions, suggesting that stuttering can be understood as a dynamical disease—an intact system operating outside its typical parameter range. This framework offers new insights into the nature of stuttering and potential approaches to intervention.
Towards a dynamical model of transitions between fluent and stuttered speech
Yijing Lu,Khalil Iskarous,Louis Goldstein
Published 2025 in Interspeech
ABSTRACT
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- Publication year
2025
- Venue
Interspeech
- Publication date
2025-08-17
- Fields of study
Physics, Linguistics, Computer Science
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Semantic Scholar
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