{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T07:32:37Z","timestamp":1777620757800,"version":"3.51.4"},"reference-count":40,"publisher":"Wiley","license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/501100003042","name":"Else Kr\u00f6ner-Fresenius-Stiftung","doi-asserted-by":"publisher","award":["2011 A167"],"award-info":[{"award-number":["2011 A167"]}],"id":[{"id":"10.13039\/501100003042","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2015]]},"abstract":"<jats:p>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;<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:mn>48.7<\/mml:mn><mml:mo>\u00b1<\/mml:mo><mml:mn>17.8<\/mml:mn><\/mml:math>years) containing the German version of the text \u201cThe North Wind and the Sun\u201d 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\u2019 ratings. The best human-machine results for roughness were obtained from a combination of six prosodic features and CFx (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\"><mml:mi>r<\/mml:mi><mml:mo>=<\/mml:mo><mml:mn>0.71<\/mml:mn><\/mml:math>,<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M3\"><mml:mi>\u03c1<\/mml:mi><mml:mo>=<\/mml:mo><mml:mn>0.57<\/mml:mn><\/mml:math>). These correlations were approximately the same as the interrater agreement among human raters (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M4\"><mml:mi>r<\/mml:mi><mml:mo>=<\/mml:mo><mml:mn>0.65<\/mml:mn><\/mml:math>,<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M5\"><mml:mi>\u03c1<\/mml:mi><mml:mo>=<\/mml:mo><mml:mn>0.61<\/mml:mn><\/mml:math>). 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.<\/jats:p>","DOI":"10.1155\/2015\/316325","type":"journal-article","created":{"date-parts":[[2015,6,3]],"date-time":"2015-06-03T20:54:13Z","timestamp":1433364853000},"page":"1-11","source":"Crossref","is-referenced-by-count":5,"title":["Automatic Evaluation of Voice Quality Using Text-Based Laryngograph Measurements and Prosodic Analysis"],"prefix":"10.1155","volume":"2015","author":[{"given":"Tino","family":"Haderlein","sequence":"first","affiliation":[{"name":"Lehrstuhl f\u00fcr Mustererkennung, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU), Martensstra\u00dfe 3, 91058 Erlangen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cornelia","family":"Schwemmle","sequence":"additional","affiliation":[{"name":"Klinik f\u00fcr Hals-, Nasen-, Ohrenheilkunde, Universit\u00e4tsklinikum Magdeburg, Leipziger Stra\u00dfe 44, 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