Spectral-cepstral estimation of dysphonia severity: external validation
Shaheen N Awan1, Nancy Pearl Solomon, Leah B Helou
1Department of Audiology and Speech Pathology, Bloomsburg University of Pennsylvania, Bloomsburg, PA 17815-1301, USA.
The Cepstral Spectral Index of Dysphonia (CSID) accurately estimates voice severity. This acoustic algorithm, validated against listener perception, shows strong correlation with dysphonia ratings.
Area of Science:
- Speech and Hearing Sciences
- Acoustic Analysis
- Voice Disorders
Background:
- Dysphonia severity assessment often relies on subjective listener perception.
- Objective acoustic measures are needed for reliable and reproducible evaluation of voice quality.
Purpose of the Study:
- To externally validate the Cepstral Spectral Index of Dysphonia (CSID) as an objective acoustic measure of dysphonia severity.
- To assess the correlation between the CSID and trained listener-perceptions of voice severity.
Main Methods:
- The study analyzed acoustic features using cepstral and spectral analyses to derive the CSID.
- Correlation analysis (Pearson's r) was performed between CSID values and Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V) severity ratings.
- Data were collected from 56 patients before or after thyroid surgery, using sentence and sustained vowel samples.
Main Results:
- A strong positive correlation (r = 0.82; p < 0.001) was found between mean CSID values and perceived voice severity.
- CSID values showed no significant difference from auditory-perceptual ratings of dysphonia severity (p = 0.16).
Conclusions:
- The CSID, an acoustic algorithm, is externally validated as a robust correlate of dysphonia severity.
- The findings support the use of CSID as an objective tool for assessing overall voice quality.
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