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Enhancing accessibility through correction of speech recognition errors

Enhancing accessibility through correction of speech recognition errors The learning within lectures of hearing-impaired students can be hindered by errors in captions generated by speech recognition. My research intends to address this problem by investigating ways of correcting these captions. I summarise approaches to automatic error correction and describe the preliminary studies that have been conducted. These studies show that human editors set a tough benchmark for automatic correction to meet and indicate that automatic correction is feasible. Finally, I summarise my intention to develop a correction framework that will permit quantitative and qualitative testing of correction methods. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGACCESS Accessibility and Computing Association for Computing Machinery

Enhancing accessibility through correction of speech recognition errors

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2007 by ACM Inc.
ISSN
1558-2337
DOI
10.1145/1328567.1328572
Publisher site
See Article on Publisher Site

Abstract

The learning within lectures of hearing-impaired students can be hindered by errors in captions generated by speech recognition. My research intends to address this problem by investigating ways of correcting these captions. I summarise approaches to automatic error correction and describe the preliminary studies that have been conducted. These studies show that human editors set a tough benchmark for automatic correction to meet and indicate that automatic correction is feasible. Finally, I summarise my intention to develop a correction framework that will permit quantitative and qualitative testing of correction methods.

Journal

ACM SIGACCESS Accessibility and ComputingAssociation for Computing Machinery

Published: Sep 1, 2007

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