Article

Machine learning surrogate forward models for biomechanical laryngeal control

2026-06-16

Abstract excerpt

Accurate modeling of laryngeal motor control is key to understanding typical and disordered voice production. However, traditional biomechanical plant models based on ordinary differential equations (ODEs) often involve high computational costs and numerical instabilities, limiting their use in real-time closed-loop control frameworks. This study evaluates feature-driven machine learning (ML) regressors, specifica...

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Literature Corpus work: aa4fdce7-3bc6-5f6b-9517-f974a1306099
DOI: 10.64898/2026.06.12.731734

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