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Scaling laws for nonlinear dynamical models of articulatory control

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Scaling laws for nonlinear dynamical models of articulatory control. / Kirkham, Sam.
In: JASA Express Letters, Vol. 5, No. 2, 025201, 28.02.2025, p. 1-7.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Kirkham S. Scaling laws for nonlinear dynamical models of articulatory control. JASA Express Letters. 2025 Feb 28;5(2):1-7. 025201. Epub 2025 Feb 3. doi: 10.1121/10.0035560

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Kirkham, Sam. / Scaling laws for nonlinear dynamical models of articulatory control. In: JASA Express Letters. 2025 ; Vol. 5, No. 2. pp. 1-7.

Bibtex

@article{d0be2be3e0784499a06842b711da94eb,
title = "Scaling laws for nonlinear dynamical models of articulatory control",
abstract = "Dynamical theories of speech use computational models of articulatory control to generate quantitative predictions and advance understanding of speech dynamics. The addition of a nonlinear restoring force to task dynamic models is a significant improvement over linear models, but nonlinearity introduces challenges with parameterization and interpretability. We illustrate these problems through numerical simulations and introduce solutions in the form of scaling laws. We apply the scaling laws to a cubic model and show how they facilitate interpretable simulations of articulatory dynamics, and can be theoretically interpreted as imposing physical and cognitive constraints on models of speech movement dynamics.",
author = "Sam Kirkham",
year = "2025",
month = feb,
day = "28",
doi = "10.1121/10.0035560",
language = "English",
volume = "5",
pages = "1--7",
journal = "JASA Express Letters",
issn = "2691-1191",
publisher = "American Institute of Physics",
number = "2",

}

RIS

TY - JOUR

T1 - Scaling laws for nonlinear dynamical models of articulatory control

AU - Kirkham, Sam

PY - 2025/2/28

Y1 - 2025/2/28

N2 - Dynamical theories of speech use computational models of articulatory control to generate quantitative predictions and advance understanding of speech dynamics. The addition of a nonlinear restoring force to task dynamic models is a significant improvement over linear models, but nonlinearity introduces challenges with parameterization and interpretability. We illustrate these problems through numerical simulations and introduce solutions in the form of scaling laws. We apply the scaling laws to a cubic model and show how they facilitate interpretable simulations of articulatory dynamics, and can be theoretically interpreted as imposing physical and cognitive constraints on models of speech movement dynamics.

AB - Dynamical theories of speech use computational models of articulatory control to generate quantitative predictions and advance understanding of speech dynamics. The addition of a nonlinear restoring force to task dynamic models is a significant improvement over linear models, but nonlinearity introduces challenges with parameterization and interpretability. We illustrate these problems through numerical simulations and introduce solutions in the form of scaling laws. We apply the scaling laws to a cubic model and show how they facilitate interpretable simulations of articulatory dynamics, and can be theoretically interpreted as imposing physical and cognitive constraints on models of speech movement dynamics.

U2 - 10.1121/10.0035560

DO - 10.1121/10.0035560

M3 - Journal article

VL - 5

SP - 1

EP - 7

JO - JASA Express Letters

JF - JASA Express Letters

SN - 2691-1191

IS - 2

M1 - 025201

ER -