学術雑誌論文

学術雑誌論文

text

npj Digital Medicine. 2025, 8(1), p. 295

A multivariate model incorporating subharmonic measurements for evaluating vocal roughness

Nature Research

英語

text

2025-05-20

https://doi.org/10.1038/s41746-025-01702-2

Kitayama I., Hosokawa K., Iwaki S., et al. A multivariate model incorporating subharmonic measurements for evaluating vocal roughness. npj Digital Medicine 8, 295 (2025); https://doi.org/10.1038/s41746-025-01702-2.

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.

This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

102901

A multivariate model incorporating subharmonic measurements for evaluating vocal roughness

Nature Research

英語

2025-05-20

npj Digital Medicine

8

1

295

https://doi.org/10.1038/s41746-025-01702-2

https://hdl.handle.net/11094/102901