Towards a Reading Coach that Listens: Automated Detection of Oral Reading Errors

Jack Mostow, Alexander G. Hauptmann, Lin Lawrence Chase, Steven Roth

What skill is more important to teach than reading? Unfortunately, millions of Americans cannot read. Although a large body of educational software exists to help teach reading, its inability to hear the student limits what it can do. This paper reports a significant step toward using automatic speech recognition to help children learn to read: an implemented system that displays a text, follows as a student reads it aloud, and automatically identifies which words he or she missed. We describe how the system works, and evaluate its performance on a corpus of second graders’ oral reading that we have recorded and transcribed.

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