Automatic Intelligibility Assessment of Speakers After Laryngeal Cancer by Means of Acoustic Modeling
- One aspect of voice and speech evaluation after laryngeal cancer is acoustic analysis. Perceptual evaluation by expert raters is a standard in the clinical environment for global criteria such as overall quality or intelligibility. So far, automatic approaches evaluate acoustic properties of pathologic voices based on voiced/unvoiced distinction and fundamental frequency analysis of sustained vowels. Because of the high amount of noisy components and the increasing aperiodicity of highly pathologic voices, a fully automatic analysis of fundamental frequency is difficult. We introduce a purely data-driven system for the acoustic analysis of pathologic voices based on recordings of a standard text.
Verfasserangaben: | Tobias Bocklet, Korbinian Riedhammer, Elmar Nöth, Ulrich Eysholdt, Tino Haderlein |
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Titel des übergeordneten Werkes (Englisch): | Journal of Voice |
Dokumentart: | Artikel in einer Zeitung/Zeitschrift |
Sprache: | Englisch |
Erscheinungsjahr: | 2012 |
Freies Schlagwort / Tag: | Lung cancer technologies; Speech Recognition |
Ausgabe / Heft: | 26(3) |
Erste Seite: | 390 |
Letzte Seite: | 397 |
Fakultäten / Organisationseinheiten: | Fakultät für Informatik |
DDC-Klassifikation: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke |