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arXiv · 2609.31508

Assessing a Mathematical Model of Syllable Production via CTW Alignment with EMA Data

Frédéric Berthommier
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Abstract

This study evaluates a mathematical model of syllable production using an EMA dataset from a recently published study, which proved highly compatible with the model's architecture. The data set consists of regularly structured French phrases of equal duration and reduced phonetic and syllabic complexity. A dedicated procedure was used to transform EMA recordings into Maeda parameters. The Model-generated trajectories were then realigned with these transformed data using Canonical Time Warping (CTW). Statistical validation was conducted via a permutation test, comparing alignment quality against a surrogate condition with phonetically incongruent model outputs. The results show significantly better alignment for phonetically congruent pairings, revealing a strong structural correspondence between the model and the articulatory data. These findings provide experimental support for the representational validity of the model.

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Frédéric Berthommier. 2026-09-25. Assessing a Mathematical Model of Syllable Production via CTW Alignment with EMA Data. https://arxiv.org/abs/2609.31508

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