The University of Southampton
University of Southampton Institutional Repository

Crowdsourcing Correction of Speech Recognition Captioning Errors

Crowdsourcing Correction of Speech Recognition Captioning Errors
Crowdsourcing Correction of Speech Recognition Captioning Errors
In this paper, we describe a tool that facilitates crowdsourcing correction of speech recognition captioning errors to provide a sustainable method of making videos accessible to people who find it difficult to understand speech through hearing alone.
Wald, Mike
90577cfd-35ae-4e4a-9422-5acffecd89d5
Wald, Mike
90577cfd-35ae-4e4a-9422-5acffecd89d5

Wald, Mike (2011) Crowdsourcing Correction of Speech Recognition Captioning Errors. W4A 2011: 8th International Cross-Disciplinary Conference on Web Accessibility, India.

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper, we describe a tool that facilitates crowdsourcing correction of speech recognition captioning errors to provide a sustainable method of making videos accessible to people who find it difficult to understand speech through hearing alone.

Text
crowdsourcecaptioningw4allCRv2.pdf - Author's Original
Download (290kB)

More information

Published date: March 2011
Additional Information: Event Dates: March 2011
Venue - Dates: W4A 2011: 8th International Cross-Disciplinary Conference on Web Accessibility, India, 2011-03-01
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 272430
URI: http://eprints.soton.ac.uk/id/eprint/272430
PURE UUID: 6d7314c8-934b-465d-ad77-ba4c418fbca6

Catalogue record

Date deposited: 09 Jun 2011 00:19
Last modified: 06 Aug 2019 18:57

Export record

Contributors

Author: Mike Wald

University divisions

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.

×