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Using Automatic Speech Recognition to Enhance Education for All Students: Turning a Vision into Reality

Using Automatic Speech Recognition to Enhance Education for All Students: Turning a Vision into Reality
Using Automatic Speech Recognition to Enhance Education for All Students: Turning a Vision into Reality
Legislation requires that educational materials produced by staff should be accessible to disabled students. Speech materials therefore require captioning and the Liberated Learning Initiative has demonstrated that automatic speech recognition provides the potential to make teaching accessible to all and to assist learners to manage and search online digital multimedia resources. This could improve the quality of education as the automatic provision of accessible synchronised lecture notes enables students to concentrate on learning and enables teachers to monitor and review what they said and reflect on it to improve their teaching. Standard automatic speech recognition software lacks certain features that are required to make this vision a reality. The only automatic speech recognition tool that is being developed to specifically overcome these identified problems would appear to be IBM ViaScribe and investigation of its application in educational environments is occurring through the Liberating Learning Consortium. This paper will describe both achievements and planned developments.
accessible multimedia, automatic speech recognition, synchronized speech and text, real time transcription
0-7803-9078-4
22-25
Wald, Mike
90577cfd-35ae-4e4a-9422-5acffecd89d5
Wald, Mike
90577cfd-35ae-4e4a-9422-5acffecd89d5

Wald, Mike (2005) Using Automatic Speech Recognition to Enhance Education for All Students: Turning a Vision into Reality. : Proceedings of 34th ASEE/IEEE Frontiers in Education Conference. 19 - 22 Oct 2005. pp. 22-25 .

Record type: Conference or Workshop Item (Paper)

Abstract

Legislation requires that educational materials produced by staff should be accessible to disabled students. Speech materials therefore require captioning and the Liberated Learning Initiative has demonstrated that automatic speech recognition provides the potential to make teaching accessible to all and to assist learners to manage and search online digital multimedia resources. This could improve the quality of education as the automatic provision of accessible synchronised lecture notes enables students to concentrate on learning and enables teachers to monitor and review what they said and reflect on it to improve their teaching. Standard automatic speech recognition software lacks certain features that are required to make this vision a reality. The only automatic speech recognition tool that is being developed to specifically overcome these identified problems would appear to be IBM ViaScribe and investigation of its application in educational environments is occurring through the Liberating Learning Consortium. This paper will describe both achievements and planned developments.

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Published date: 2005
Additional Information: Event Dates: October 19-22 2005
Venue - Dates: : Proceedings of 34th ASEE/IEEE Frontiers in Education Conference, 2005-10-19 - 2005-10-22
Keywords: accessible multimedia, automatic speech recognition, synchronized speech and text, real time transcription
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 261526
URI: https://eprints.soton.ac.uk/id/eprint/261526
ISBN: 0-7803-9078-4
PURE UUID: 554569c0-eb45-4f8f-add3-48af8efe9042

Catalogue record

Date deposited: 08 Nov 2005
Last modified: 14 Oct 2019 19:16

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Contributors

Author: Mike Wald

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