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Related Experiment Video

Updated: Apr 30, 2026

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
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Algorithm Verification and Concurrent Validity of a Web-Based Platform for Multiparametric Acoustic Voice Quality

Jorge C Lucero1

  • 1Department of Computer Science, University of Brasília, Brasília 70910-900, DF, Brazil.

Journal of Voice : Official Journal of the Voice Foundation
|April 28, 2026
PubMed
Summary
This summary is machine-generated.

Web-based voice analysis tools like PhonaLab maintain the accuracy of acoustic voice quality indices. These validated tools support research-validated acoustic analysis via browser-based platforms.

Keywords:
Acoustic breathiness indexAcoustic voice quality indexCepstral spectral index of dysphoniaPVQDVoice assessmentWeb-based analysis

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Area of Science:

  • Speech and Hearing Sciences
  • Acoustic Analysis
  • Voice Disorders Research

Background:

  • Established acoustic voice quality indices (AVQI, ABI, CSID, CPPS) are crucial for voice disorder assessment.
  • Concurrent validity with perceptual ratings is essential for clinical and research applications.
  • Accessibility of validated acoustic analysis tools can broaden research participation.

Purpose of the Study:

  • To validate multiparametric acoustic voice quality indices (AVQI, ABI, CSID, CPPS) on a free, web-based platform (PhonaLab).
  • To assess the concurrent validity of these indices with expert perceptual ratings.
  • To determine the feasibility of delivering research-validated acoustic analysis through browser-based platforms.

Main Methods:

  • A cross-sectional validation study utilized voice samples from 290 speakers.
  • PhonaLab, a web-based platform, analyzed sustained vowels and connected speech using Parselmouth.
  • Agreement with desktop Praat and correlations with CAPE-V and GRBAS perceptual ratings were calculated.

Main Results:

  • PhonaLab demonstrated strong to excellent agreement with desktop Praat (r ≥ 0.96, ICC ≥ 0.94).
  • Acoustic indices showed significant correlations with perceptual ratings (e.g., AVQI with CAPE-V Overall Severity, rs = 0.73).
  • The acoustic breathiness index (ABI) significantly outperformed single parameters for breathiness detection (P < 0.001).

Conclusions:

  • Validated multiparametric acoustic indices retain concurrent validity on the PhonaLab web-based platform.
  • This supports the feasibility of using accessible, browser-based platforms for research-validated acoustic voice analysis.
  • Web-based acoustic analysis offers a promising avenue for broader application in voice research and potentially clinical settings.