A multivariate model incorporating subharmonic measurements for evaluating vocal roughness.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 40394209.
- Also identified by DOI 10.1038/s41746-025-01702-2 and PMC identifier 12092608.
- Licence recorded as CC BY-NC-ND.
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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 (f<sub>o</sub>) 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.