Speech Recognition Applied to Reading Assistance for Children: A Baseline Language Model
Conference Paper, Proceedings of 3rd European Conference on Speech Communication and Technology (EUROSPEECH '93), pp. 2255 - 2258, September, 1993
Abstract
We describe an approach to using speech recognition in assisting children's reading. A state-of-the-art speaker independent continuous speech recognizer designed for large vocabulary dictation is adapted to the task of identifying substitutions and omissions in a known text. A baseline language model for this new task is detailed and evaluated against a corpus of children reading graded passages. We are able to identify words missed by a reader with an average false positive rate of 39% and a corresponding false negative rate of 37%. These preliminary results are encouraging for our long-term goal of providing automated coaching for children learning to read.
BibTeX
@conference{Hauptmann-1993-13568,author = {A. G. Hauptmann and Lin Chase and Jack Mostow},
title = {Speech Recognition Applied to Reading Assistance for Children: A Baseline Language Model},
booktitle = {Proceedings of 3rd European Conference on Speech Communication and Technology (EUROSPEECH '93)},
year = {1993},
month = {September},
pages = {2255 - 2258},
}
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