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Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
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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
PubMed
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.

Keywords:
Acoustic analysisCepstrumDiplophoniaRoughnessSubharmonics

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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.