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Advances in Clinical Voice Quality Analysis with VOXplot

Background: The assessment of voice quality can be evaluated perceptually with standard clinical practice, also including acoustic evaluation of digital voice recordings to validate and further interpret perceptual judgments. The goal of the present study was to determine the strongest acoustic voic...

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Autores principales: Barsties v. Latoszek, Ben, Mayer, Jörg, Watts, Christopher R., Lehnert, Bernhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10380658/
https://www.ncbi.nlm.nih.gov/pubmed/37510759
http://dx.doi.org/10.3390/jcm12144644
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author Barsties v. Latoszek, Ben
Mayer, Jörg
Watts, Christopher R.
Lehnert, Bernhard
author_facet Barsties v. Latoszek, Ben
Mayer, Jörg
Watts, Christopher R.
Lehnert, Bernhard
author_sort Barsties v. Latoszek, Ben
collection PubMed
description Background: The assessment of voice quality can be evaluated perceptually with standard clinical practice, also including acoustic evaluation of digital voice recordings to validate and further interpret perceptual judgments. The goal of the present study was to determine the strongest acoustic voice quality parameters for perceived hoarseness and breathiness when analyzing the sustained vowel [a:] using a new clinical acoustic tool, the VOXplot software. Methods: A total of 218 voice samples of individuals with and without voice disorders were applied to perceptual and acoustic analyses. Overall, 13 single acoustic parameters were included to determine validity aspects in relation to perceptions of hoarseness and breathiness. Results: Four single acoustic measures could be clearly associated with perceptions of hoarseness or breathiness. For hoarseness, the harmonics-to-noise ratio (HNR) and pitch perturbation quotient with a smoothing factor of five periods (PPQ5), and, for breathiness, the smoothed cepstral peak prominence (CPPS) and the glottal-to-noise excitation ratio (GNE) were shown to be highly valid, with a significant difference being demonstrated for each of the other perceptual voice quality aspects. Conclusions: Two acoustic measures, the HNR and the PPQ5, were both strongly associated with perceptions of hoarseness and were able to discriminate hoarseness from breathiness with good confidence. Two other acoustic measures, the CPPS and the GNE, were both strongly associated with perceptions of breathiness and were able to discriminate breathiness from hoarseness with good confidence.
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spelling pubmed-103806582023-07-29 Advances in Clinical Voice Quality Analysis with VOXplot Barsties v. Latoszek, Ben Mayer, Jörg Watts, Christopher R. Lehnert, Bernhard J Clin Med Article Background: The assessment of voice quality can be evaluated perceptually with standard clinical practice, also including acoustic evaluation of digital voice recordings to validate and further interpret perceptual judgments. The goal of the present study was to determine the strongest acoustic voice quality parameters for perceived hoarseness and breathiness when analyzing the sustained vowel [a:] using a new clinical acoustic tool, the VOXplot software. Methods: A total of 218 voice samples of individuals with and without voice disorders were applied to perceptual and acoustic analyses. Overall, 13 single acoustic parameters were included to determine validity aspects in relation to perceptions of hoarseness and breathiness. Results: Four single acoustic measures could be clearly associated with perceptions of hoarseness or breathiness. For hoarseness, the harmonics-to-noise ratio (HNR) and pitch perturbation quotient with a smoothing factor of five periods (PPQ5), and, for breathiness, the smoothed cepstral peak prominence (CPPS) and the glottal-to-noise excitation ratio (GNE) were shown to be highly valid, with a significant difference being demonstrated for each of the other perceptual voice quality aspects. Conclusions: Two acoustic measures, the HNR and the PPQ5, were both strongly associated with perceptions of hoarseness and were able to discriminate hoarseness from breathiness with good confidence. Two other acoustic measures, the CPPS and the GNE, were both strongly associated with perceptions of breathiness and were able to discriminate breathiness from hoarseness with good confidence. MDPI 2023-07-12 /pmc/articles/PMC10380658/ /pubmed/37510759 http://dx.doi.org/10.3390/jcm12144644 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Barsties v. Latoszek, Ben
Mayer, Jörg
Watts, Christopher R.
Lehnert, Bernhard
Advances in Clinical Voice Quality Analysis with VOXplot
title Advances in Clinical Voice Quality Analysis with VOXplot
title_full Advances in Clinical Voice Quality Analysis with VOXplot
title_fullStr Advances in Clinical Voice Quality Analysis with VOXplot
title_full_unstemmed Advances in Clinical Voice Quality Analysis with VOXplot
title_short Advances in Clinical Voice Quality Analysis with VOXplot
title_sort advances in clinical voice quality analysis with voxplot
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10380658/
https://www.ncbi.nlm.nih.gov/pubmed/37510759
http://dx.doi.org/10.3390/jcm12144644
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