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Validation of Subharmonics Quantification Using Two-Stage Cepstral Analysis
Itsuki Kitayama1, Kiyohito Hosokawa2, Shinobu Iwaki3
1Department of Otorhinolaryngology and Head & Neck Surgery, Osaka University Graduate School of Medicine, Osaka, Japan.
Journal of Voice : Official Journal of the Voice Foundation
|December 23, 2023
Summary
Quantifying vocal roughness remains challenging. While two-stage cepstral analysis shows promise, it requires further development to accurately detect subharmonics and roughness in voice analysis.
Area of Science:
- Acoustic analysis of voice
- Speech pathology
- Quantitative voice assessment
Background:
- Vocal roughness is a key component of hoarseness, often linked to complex acoustic structures like subharmonics.
- Existing quantitative tools struggle to accurately measure roughness due to these complexities.
- Two-stage cepstral analysis presents a potential method for quantifying roughness.
Purpose of the Study:
- To enhance the accuracy of two-stage cepstral analysis for vocal roughness measurement.
- To investigate the relationship between vocal roughness and subharmonics.
- To evaluate the diagnostic capabilities of customized pitch settings in acoustic analysis.
Main Methods:
- A retrospective study analyzed voice recordings from 455 participants (speech-impaired and normal controls).
- Two-stage cepstral analysis was performed using Analysis of Dysphonia in Speech and Voice and Praat software.
- Subharmonics were visually quantified from narrowband spectrograms for validation and reliability assessment.
Main Results:
- Two-stage cepstral analysis demonstrated high correlation (r=0.963) between software programs.
- Subharmonics measures from spectrograms showed good reliability and a strong correlation with perceived roughness.
- Despite customized pitch settings, two-stage cepstral analysis exhibited weak to moderate correlations for roughness and subharmonics.
Conclusions:
- Two-stage cepstral analysis showed limited improvement in detecting subharmonics and roughness, even with pitch customization.
- Spectrogram-based subharmonics analysis confirmed a strong link between subharmonics and roughness.
- Further development of acoustic analysis parameters is crucial for accurate subharmonics and roughness detection.
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