Universal access to communication and learning: the role of automatic speech recognition

Authors:
Mike Wald;Keith Bain
Affiliations:
University of Southampton, Learning Technologies Group, School of Electronics and Computer Science, SO171BJ, Southampton, UK;Saint Mary’s University, Liberated Learning, B3H 3C3, Halifax, Canada
Venue:
Universal Access in the Information Society
Year:
2008

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Abstract

This communication discusses how automatic speech recognition (ASR) can support universal access to communication and learning through the cost-effective production of text synchronised with speech and describes achievements and planned developments of the Liberated Learning Consortium to: support preferred learning and teaching styles; assist those who for cognitive, physical or sensory reasons find notetaking difficult; assist learners to manage and search online digital multimedia resources; provide automatic captioning of speech for deaf learners or when speech is not available or suitable; assist blind, visually impaired or dyslexic people to read and search material; and, assist speakers to improve their communication skills.