dDM Publications about Laryngeal Video Classification

The following publications in the field of Laryngeal high-speed video classification were powered by the computational power of the dDM project. We'd like to thank all project members for their support.

Voigt D, Döllinger M, Braunschweig T, Yang A, Eysholdt U, Lohscheller J. Classification of functional voice disorders based on phonovibrograms. Artificial Intelligence in Medicine. 2010;49(1):51-9.
Voigt D, Lohscheller J, Döllinger M, Yang A, Eysholdt U. Automatic diagnosis of vocal fold paresis by employing phonovibrogram features and machine learning methods. Comput Methods Programs Biomed. 2010;99(3):275-88.
Voigt D. Objective Analysis and Classification of Vocal Fold Dynamics from Laryngeal High-Speed Recordings. Aachen: Shaker Verlag GmbH; 2010. download