Details

Autor(en) / Beteiligte

• Maier, Andreas
• Horndasch, Stefanie
• Nöth, Elmar

Titel

Automatic classification of reading disorders in a single word reading test

Ist Teil von

• Proceedings of the 2nd Workshop on Child, Computer and Interaction, 2009, p.1-4

Ort / Verlag

New York, NY, USA: ACM

Erscheinungsjahr

2009

Link zum Volltext

Quelle

ACM Digital Library Complete

Beschreibungen/Notizen

• 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.