An introduction to ROC analysis
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
PEAKS - A system for the automatic evaluation of voice and speech disorders
Speech Communication
An automatic version of the post-laryngectomy telephone test
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
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In clinical practice, reading disorders are still evaluated perceptually. In order to alleviate this problem, we propose to use automatic speech processing techniques to classify reading disorders. Therefore, we recorded 38 children who were suspected to have a reading disorder. The recordings were performed using a German standard test for reading disorders. Each child was perceptually assessed and the number of reading errors per child was recorded. Furthermore, the reading duration was stored for each child. If either of both values exceeded an age-dependent limit, the child was diagnosed having a reading disorder. In 30 of the 38 children the reading disorder was confirmed. In this paper, we present the results on the automatic evaluation concerning a single word reading test. We achieve up to 78.9% recognition rate in the detection of the exceedance of the reading error limit and 97.4% recognition rate in the classification for reading disorder.