Automatic Evaluation of Voice Quality Using Text-Based Laryngograph Measurements and Prosodic Analysis
Joint Authors
Haderlein, Tino
Schwemmle, Cornelia
Döllinger, Michael
Matoušek, Václav
Ptok, Martin
Nöth, Elmar
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-02
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Due to low intra- and interrater reliability, perceptual voice evaluation should be supported by objective, automatic methods.
In this study, text-based, computer-aided prosodic analysis and measurements of connected speech were combined in order to model perceptual evaluation of the German Roughness-Breathiness-Hoarseness (RBH) scheme.
58 connected speech samples (43 women and 15 men; 48.7±17.8 years) containing the German version of the text “The North Wind and the Sun” were evaluated perceptually by 19 speech and voice therapy students according to the RBH scale.
For the human-machine correlation, Support Vector Regression with measurements of the vocal fold cycle irregularities (CFx) and the closed phases of vocal fold vibration (CQx) of the Laryngograph and 33 features from a prosodic analysis module were used to model the listeners’ ratings.
The best human-machine results for roughness were obtained from a combination of six prosodic features and CFx (r=0.71, ρ=0.57).
These correlations were approximately the same as the interrater agreement among human raters (r=0.65, ρ=0.61).
CQx was one of the substantial features of the hoarseness model.
For hoarseness and breathiness, the human-machine agreement was substantially lower.
Nevertheless, the automatic analysis method can serve as the basis for a meaningful objective support for perceptual analysis.
American Psychological Association (APA)
Haderlein, Tino& Schwemmle, Cornelia& Döllinger, Michael& Matoušek, Václav& Ptok, Martin& Nöth, Elmar. 2015. Automatic Evaluation of Voice Quality Using Text-Based Laryngograph Measurements and Prosodic Analysis. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057864
Modern Language Association (MLA)
Haderlein, Tino…[et al.]. Automatic Evaluation of Voice Quality Using Text-Based Laryngograph Measurements and Prosodic Analysis. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1057864
American Medical Association (AMA)
Haderlein, Tino& Schwemmle, Cornelia& Döllinger, Michael& Matoušek, Václav& Ptok, Martin& Nöth, Elmar. Automatic Evaluation of Voice Quality Using Text-Based Laryngograph Measurements and Prosodic Analysis. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057864
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057864