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Published on: January 5, 2024
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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
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.
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.
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