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Synthetic, Multi-Layer, Self-Oscillating Vocal Fold Model Fabrication

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Published on: December 2, 2011

Speaking without vocal folds using a machine-learning-assisted wearable sensing-actuation system.

Ziyuan Che¹, Xiao Wan¹, Jing Xu¹

¹Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.

Nature Communications

|March 13, 2024

Summary

This study introduces a soft magnetoelastic wearable system for assisted speaking, bypassing vocal fold dysfunction. This technology accurately converts muscle movements into speech, aiding patients with voice disorders.

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Area of Science:

Biomedical Engineering
Materials Science
Speech Science

Background:

Dysphonia, or voice disorders, commonly arises from pathological vocal fold conditions or post-surgical recovery from laryngeal cancer.
Existing assistive speech technologies often have limitations in mimicking natural voice production or require invasive procedures.

Purpose of the Study:

To develop a self-powered, wearable sensing-actuation system for assisted speech.
To enable individuals with dysfunctional vocal folds to communicate effectively without relying on vocal fold vibration.

Main Methods:

A soft magnetoelastic wearable system was designed with a lightweight (approx. 7.2 g), skin-like modulus (7.83 × 10^5 Pa), and high stretchability (164%).
The system's sensing component captures extrinsic laryngeal muscle movements, converting them into electrical signals.
Machine learning algorithms translate these signals into speech with high fidelity, and the actuation component generates voice signals.

Main Results:

The wearable system demonstrated stability against skin perspiration.
The sensing component achieved high-fidelity signal capture of laryngeal muscle activity.
Speech translation using machine learning achieved an accuracy of 94.68%.

Conclusions:

The developed soft magnetoelastic wearable system offers a non-reliance on vocal fold vibration for speech production.
This technology has the potential to restore voice function for patients with dysphonia.
The system could significantly improve the quality of life for individuals with vocal fold impairments.