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Related Experiment Video

Updated: Jul 5, 2025

Author Spotlight: Advancements in the Fabrication of Synthetic Vocal Fold Models for Phonetic and Robotic Applications
06:24

Author Spotlight: Advancements in the Fabrication of Synthetic Vocal Fold Models for Phonetic and Robotic Applications

Published on: January 5, 2024

862

Manufacturing Process for Non-Adhesive Super-Soft Vocal Fold Models.

Patrick Häsner1, Peter Birkholz2

  • 1Institute of Acoustics and Speech Communication, Technische Universität Dresden; patrick.haesner@tu-dresden.de.

Journal of Visualized Experiments : Jove
|January 22, 2024
PubMed
Summary

Researchers developed improved, non-sticky vocal fold models for voice research. This new method enhances consistency and reliability, overcoming limitations of traditional sticky silicone models.

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Related Experiment Videos

Last Updated: Jul 5, 2025

Author Spotlight: Advancements in the Fabrication of Synthetic Vocal Fold Models for Phonetic and Robotic Applications
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Area of Science:

  • Biomedical Engineering
  • Acoustics
  • Materials Science

Background:

  • Conventional silicone-based vocal fold models suffer from stickiness and poor reproducibility.
  • These limitations lead to rapid aging and inconsistent measurement comparability in voice research.

Purpose of the Study:

  • To develop super-soft, non-sticky vocal fold models for enhanced voice research.
  • To address the limitations of conventional models, including stickiness and reproducibility issues.

Main Methods:

  • Modified the layering order of silicone material during the manufacturing process.
  • Compared the properties of models produced with the modified method versus conventionally manufactured models.

Main Results:

  • The modified fabrication method successfully produced non-sticky and highly consistent vocal fold models.
  • The new models demonstrated superior qualities compared to conventionally manufactured, sticky models.

Conclusions:

  • The modified fabrication method offers a significant improvement for creating realistic and reliable vocal fold models.
  • These enhanced models are suitable for advanced voice research and clinical applications.