ArticleJournal of speech, language, and hearing research : JSLHR2025
Reliability and Diagnostic Accuracy of Semi-Automated and Automated Acoustic Quantification of Vocal Tremor Characteristics.
Article in Journal of speech, language, and hearing research : JSLHR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- A Comparison of Four Selected Acoustic Measures in Detecting Voice Quality Changes With Botulinum Toxin Treatment in Adductor-Type Laryngeal Dystonia.American journal of speech-language pathology · 2026Article
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4 authors.
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Abstract
purposeThis study compared three methods of acoustic algorithm-supported extraction and analysis of vocal tremor properties (i.e., rate, extent, and regularity of intensity level and fundamental frequency modulation): (a) visual perception and manual data extraction, (b) semi-automated data extraction, and (c) fully automated data extraction.
methodForty-five midvowel sustained [a:] and [i:] audio recordings were collected as part of a scientific project to learn about the physiologic substrates of vocal tremor. This convenience data set contained vowels with a representative variety in vocal tremor severity. First, the vocal tremor properties in intensity level and fundamental frequency tracks were visually inspected and manually measured using Praat software. Second, the vocal tremor properties were determined using two Praat scripts: automated with the script of Maryn et al. (2019) and semi-automated with an adjusted version of this script to enable the user to intervene with the signal processing. The reliability of manual vocal tremor property measurement was assessed using the intraclass correlation coefficient. The properties as measured with the two scripts (automated vs. semi-automated) were compared with the manually determined properties using correlation and diagnostic accuracy statistical methods.
resultsWith intraclass correlation coefficients between .770 and .914, the reliability of the manual method was acceptable. The semi-automated method correlated with manual property measures better and was more accurate in diagnosing vocal tremor than the automated method. DISCUSSION: Manual acoustic measurement of vocal tremor properties can be laborious and time-consuming. Automated or semi-automated acoustic methods may improve efficiency in vocal tremor property measurement in clinical as well as research settings. Although both Praat script-supported methods in this study yielded acceptable validity with the manual data measurements as a referent, the semi-automated method showed the best outcomes. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.28873088.
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