Machine learning surrogate forward models for biomechanical laryngeal control
Jesús A. Parra, Clara Sorolla, Nicolás F. Quinteros, Emiro Ibarra, Gabriel A. Alzamendi, Sean D. Peterson, Hasini R. Weerathunge, Frank H. Guenther, Matías Zañartu
This paper uses machine learning models to create fast surrogates for biomechanical laryngeal control models, enabling real-time applications with reduced computational costs.
The Journal of the Acoustical Society of America · Aug 1, 2026Peer-reviewedBioengineering