Graphics enhanced version of this site

Training a Confidence Measure for a Reading Tutor that Listens
Y. Tam, J.E. Beck, J. Mostow, and S. Banerjee
Proceedings of the 8th European Conference on Speech Communication and Technology (Eurospeech 2003), September, 2003.

Jump to: Download | Abstract | Notes | Text Reference | BibTeX Reference

Adobe portable document format (pdf) [57 KB]
Compressed postscript (ps.gz) [60 KB]

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

One issue in a Reading Tutor that listens is to determine which words the student read correctly. We describe a confidence measure that uses a variety of features to estimate the probability that a word was read correctly. We trained two decision tree classifiers. The first classifier tries to fix insertion and substitution errors made by the speech decoder, while the second classifier tries to fix deletion errors. By applying the two classifiers together, we achieved a relative reduction in false alarm rate by 25.89% while holding the miscue detection rate constant.

Associated lab/group: Project LISTEN
Associated project: Project LISTEN's Reading Tutor

Y. Tam, J.E. Beck, J. Mostow, and S. Banerjee, "Training a Confidence Measure for a Reading Tutor that Listens," Proceedings of the 8th European Conference on Speech Communication and Technology (Eurospeech 2003), September, 2003.

@inproceedings{Tam_2003_4654,
   author = "Y.-C. Tam and Joseph E Beck and Jack Mostow and S. Banerjee",
   title = "Training a Confidence Measure for a Reading Tutor that Listens",
   booktitle = "Proceedings of the 8th European Conference on Speech Communication and Technology (Eurospeech 2003)",
   month = "September",
   year = "2003"
}