Work

Scaling laws for nonlinear dynamical models of articulatory control

Year: 2025

Type: article

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.

Source: JASA Express Letters

DOI: 10.1121/10.0035560

Author: Sam Kirkham

Institution: Lancaster University

Language: English

Topic: Phonetics and Phonology Research

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: diamond

Funders: UK Research and Innovation, Arts and Humanities Research Council

Awards: Modelling the dynamics of phonetic variation and phonological change, G9000022810