Advances in clinical voice quality analysis with VOXplot

dc.contributor.authorBarsties von Latoszek, Ben
dc.contributor.authorMayer, Jörg
dc.contributor.authorWatts, Christopher R.
dc.contributor.authorLehnert, Bernhard
dc.date.accessioned2023-10-25T08:07:50Z
dc.date.available2023-10-25T08:07:50Z
dc.date.issued2023de
dc.date.updated2023-08-08T16:12:26Z
dc.description.abstractBackground: 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.en
dc.identifier.issn2077-0383
dc.identifier.other1869563328
dc.identifier.urihttp://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-136941de
dc.identifier.urihttp://elib.uni-stuttgart.de/handle/11682/13694
dc.identifier.urihttp://dx.doi.org/10.18419/opus-13675
dc.language.isoende
dc.relation.uridoi:10.3390/jcm12144644de
dc.rightsinfo:eu-repo/semantics/openAccessde
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/de
dc.subject.ddc004de
dc.titleAdvances in clinical voice quality analysis with VOXploten
dc.typearticlede
ubs.fakultaetInformatik, Elektrotechnik und Informationstechnikde
ubs.fakultaetFakultätsübergreifend / Sonstige Einrichtungde
ubs.institutInstitut für Maschinelle Sprachverarbeitungde
ubs.institutFakultätsübergreifend / Sonstige Einrichtungde
ubs.publikation.seiten10de
ubs.publikation.sourceJournal of clinical medicine 12 (2023), No. 4644de
ubs.publikation.typZeitschriftenartikelde

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