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Author Spotlight: Advancements in the Fabrication of Synthetic Vocal Fold Models for Phonetic and Robotic Applications
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A multivariate model incorporating subharmonic measurements for evaluating vocal roughness.

Itsuki Kitayama1, Kiyohito Hosokawa2,3, Shinobu Iwaki4

  • 1Department of Otorhinolaryngology and Head & Neck Surgery, The University of Osaka Graduate School of Medicine, Suita-city, Osaka, Japan.

NPJ Digital Medicine
|May 20, 2025
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Summary

This study introduces a new acoustic roughness index (ARI) to objectively measure vocal roughness, a key factor in hoarseness. The ARI accurately quantifies roughness, aiding clinical hoarseness assessment.

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Area of Science:

  • Otolaryngology
  • Speech Science
  • Acoustics

Background:

  • Hoarseness assessment relies on voice quality evaluation.
  • Accurate auditory-perceptual judgment of vocal roughness remains challenging.
  • Vocal roughness is a primary component of hoarseness.

Purpose of the Study:

  • To develop a multivariate acoustic model for quantifying vocal roughness.
  • To introduce a novel Acoustic Roughness Index (ARI) for objective vocal roughness assessment.
  • To establish a reliable index for clinical hoarseness evaluation.

Main Methods:

  • Developed a tailored fundamental frequency (fo) estimation algorithm.
  • Devised new parameters for classifying and quantifying subharmonics.
  • Integrated these parameters into the Acoustic Roughness Index (ARI).

Main Results:

  • The new parameters effectively classify and quantify subharmonics.
  • The ARI demonstrated high diagnostic accuracy for vocal roughness.
  • ARI showed a strong correlation with auditory-perceptual roughness ratings.

Conclusions:

  • The developed multivariate acoustic model accurately quantifies vocal roughness.
  • The Acoustic Roughness Index (ARI) is a robust tool for evaluating vocal roughness.
  • ARI enhances the clinical assessment of hoarseness.