The University of Southampton
University of Southampton Institutional Repository

Using Automatic Speech Recognition to Assist Communication and Learning

Using Automatic Speech Recognition to Assist Communication and Learning
Using Automatic Speech Recognition to Assist Communication and Learning
This paper explains how automatic speech recognition can assist 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 and 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 for any learner when speech is not available or suitable; assist blind, visually impaired or dyslexic people to read and search material more readily by augmenting synthetic speech with natural recorded real speech; assist reflection by speakers to improve their communication skills.
automatic speech recognition automatic captioning communication and learning text synchronised with speech deaf
0-8058-5807-5
Wald, Mike
90577cfd-35ae-4e4a-9422-5acffecd89d5
Bain, Keith
85da94eb-1c50-4647-a543-4f0771efe937
Wald, Mike
90577cfd-35ae-4e4a-9422-5acffecd89d5
Bain, Keith
85da94eb-1c50-4647-a543-4f0771efe937

Wald, Mike and Bain, Keith (2005) Using Automatic Speech Recognition to Assist Communication and Learning. HCI International 2005: 11th International Conference on Human-Computer Interaction, Las Vegas. 22 - 27 Jul 2005.

Record type: Conference or Workshop Item (Paper)

Abstract

This paper explains how automatic speech recognition can assist 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 and 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 for any learner when speech is not available or suitable; assist blind, visually impaired or dyslexic people to read and search material more readily by augmenting synthetic speech with natural recorded real speech; assist reflection by speakers to improve their communication skills.

Text
HICinternationalpapersubmitted.doc - Other
Download (69kB)

More information

Published date: 2005
Additional Information: Event Dates: 22-27 July
Venue - Dates: HCI International 2005: 11th International Conference on Human-Computer Interaction, Las Vegas, 2005-07-22 - 2005-07-27
Keywords: automatic speech recognition automatic captioning communication and learning text synchronised with speech deaf
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 260730
URI: http://eprints.soton.ac.uk/id/eprint/260730
ISBN: 0-8058-5807-5
PURE UUID: 605bbc25-4d52-4c91-b330-f704f9e88a08

Catalogue record

Date deposited: 07 Apr 2005
Last modified: 14 Mar 2024 06:42

Export record

Contributors

Author: Mike Wald
Author: Keith Bain

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×