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Updated: May 23, 2025

Author Spotlight: Advancements in the Fabrication of Synthetic Vocal Fold Models for Phonetic and Robotic Applications
Published on: January 5, 2024
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.
Abstract:
The assessment of voice quality plays a critical role in the clinical evaluation of hoarseness. However, no study has established a highly accurate method for the auditory-perceptual judgment of vocal roughness, which is one of the major components of hoarseness. In this study, we developed a multivariate acoustic model for quantifying vocal roughness using a tailored fundamental frequency (fo) estimation algorithm. The newly devised parameters enabled the classification and quantification of subharmonics, a key component of rough voice. Furthermore, we introduce the acoustic roughness index (ARI), a predictive acoustic model that integrates these parameters with existing acoustic parameters. The ARI demonstrates high diagnostic accuracy and a strong correlation with auditory-perceptual roughness, establishing it as a robust index for the evaluation of vocal roughness.
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