TY - CONF A1 - Nöth, Elmar A1 - Maier, Andreas A1 - Haderlein, Tino A1 - Riedhammer, Korbinian A1 - Rosanowski, Frank A1 - Schuster, Maria T1 - Automatic Evaluation of Pathologic Speech - from Research to Routine Clinical Use T2 - TSD 2007, 10th International Conference on Text, Speech and Dialogue, Pilsen, Czech Republic, September 2007. N2 - Previously we have shown that ASR technology can be used to objectively evaluate pathologic speech. Here we report on progress for routine clinical use: 1) We introduce an easy-to-use recording and evaluation environment. 2) We confirm our previous results for a larger group of patients. 3) We show that telephone speech can be analyzed with the same methods with only a small loss of agreement with human experts. 4) We show that prosodic information leads to more robust results. 5) We show that text reference instead of transliteration can be used for evaluation. Using word accuracy of a speech recognizer and prosodic features as features for SVM regression, we achieve a correlation of .90 between the automatic analysis and human experts. KW - Automatic Speech Recognition KW - Pathologic Speech KW - Automatic Evaluation KW - Prosodic Feature KW - Speech Recognizer Y1 - 2018 UR - https://opus4.kobv.de/opus4-rosenheim/frontdoor/index/index/docId/292 SP - 294 EP - 301 PB - Springer-Verlag ER -