ArticleJournal of speech, language, and hearing research : JSLHR2022
Clinical Cutoff Scores for Acoustic Indices of Vocal Hyperfunction That Combine Relative Fundamental Frequency and Cepstral Peak Prominence.
Article in Journal of speech, language, and hearing research : JSLHR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Examining the Effect of Volitionally Altering Fundamental Frequency on Measures Associated With Vocal Hyperfunction.Journal of voice : official journal of the Voice Foundation · 2026Article
- Capturing the Intraspeaker Heterogeneity of Vocal Hyperfunction Using Spatiotemporal Indices of Relative Fundamental Frequency.Journal of speech, language, and hearing research : JSLHR · 2025Article
- Normative Thresholds for Acoustic Estimates of Relative Fundamental Frequency.Journal of voice : official journal of the Voice Foundation · 2025Article
- Validation of a Python-Based Graphical User Interface for Calculation of Relative Fundamental Frequency.Journal of voice : official journal of the Voice Foundation · 2025Article
- The Effect of Rating Method on Reliability of Judgments of Strain Across Populations.American journal of speech-language pathology · 2024Article
- Voice Onset Time in Children With and Without Vocal Fold Nodules.Journal of speech, language, and hearing research : JSLHR · 2023Article
- Acoustic Measures of Dysphonia in Amyotrophic Lateral Sclerosis.Journal of speech, language, and hearing research : JSLHR · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
purposeThis study examined the discriminative ability of acoustic indices of vocal hyperfunction combining smoothed cepstral peak prominence (CPPS) and relative fundamental frequency (RFF).
methodDemographic, CPPS, and RFF parameters were entered into logistic regression models trained on two 1:1 case-control groups: individuals with and without nonphonotraumatic vocal hyperfunction (NPVH;
resultsBoth CPPS and RFF parameters significantly improved model fits for NPVH and PVH after accounting for demographics. CPPS explained unique variance beyond RFF in both models. RFF explained unique variance beyond CPPS in the PVH model. Final models included CPPS and RFF offset parameters for both NPVH and PVH; RFF onset parameters were significant only in the PVH model. Area under the receiver operating characteristic curve analysis for the independent test sets revealed acceptable classification for NPVH (72%) and good classification for PVH (86%).
conclusionsA combination of CPPS and RFF parameters showed better discriminative ability than either measure alone for PVH. Clinical cutoff scores for acoustic indices of vocal hyperfunction are proposed for assessment and screening purposes.
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