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.

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Author:Tobias Bocklet, Korbinian Riedhammer, Elmar Nöth, Ulrich Eysholdt, Tino Haderlein
Parent Title (English):Journal of Voice
Document Type:Contribution to a Periodical
Publication Year:2012
Tag:Lung cancer technologies; Speech Recognition
First Page:390
Last Page:397
faculties / departments:Fakultät für Informatik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke