Using speech recognition and intelligent search tools to enhance information accessibility

Authors:
Keith Bain;Jason Hines;Pawan Lingras;Yumei Qin
Affiliations:
Liberated Learning Consortium, Saint Mary's University, Halifax, NS, Canada;Mathematics and Computer Science Department, Saint Mary's University, Halifax, NS, Canada;Mathematics and Computer Science Department, Saint Mary's University, Halifax, NS, Canada;IBM China Human Ability and Accessibility Center, Beijing, P.R.C.
Venue:
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: applications and services
Year:
2007

Citing 9
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Abstract

Access to spoken information presents challenges in educational, work, and public settings for many individuals. Speech Recognition technology offers a potential strategy for increasing access in various settings, including the university lecture environment. An international research team has successfully experimented with providing speech recognition generated lecture notes, available online as multimedia enhanced transcripts. Additionally, a specially designed search and indexing tool was introduced to enhance the user experience. An exploratory study was conducted to gauge student reactions, identify usage patterns, and assess ease of use.