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Evaluation of the usability and usefulness of automatic speech recognition among users in South Africa

Includes abstract.

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Bibliographic Details
Main Author: Florence, Idowu Modupeola
Other Authors: Mbogho, Audrey J W
Format: Thesis
Language:English
Published: Department of Computer Science 2014
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access_status_str Open Access
author Florence, Idowu Modupeola
author2 Mbogho, Audrey J W
author_browse Florence, Idowu Modupeola
Mbogho, Audrey J W
author_facet Mbogho, Audrey J W
Florence, Idowu Modupeola
author_sort Florence, Idowu Modupeola
collection Thesis
description Includes abstract.
format Thesis
id oai:open.uct.ac.za:11427/10494
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:33:01.081Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Computer Science
publisherStr Department of Computer Science
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/10494 Evaluation of the usability and usefulness of automatic speech recognition among users in South Africa Florence, Idowu Modupeola Mbogho, Audrey J W Information Technology Includes abstract. Includes bibliographical references. An automatic speech recognition (ASR) system is a software application which recognizes human speech, processes it as input, and displays a text version of the speech as output or uses the input as commands for another application's usage. ASR can either be speaker-dependent or speaker-independent. A speaker-dependent ASR system required every user to perform training before its usage, while speaker-independent ASR requires no prior training before usage...This study involved the evaluation of commercially available English ASR systems, establishing their usability and usefulness among different language groups in South Africa which use English as a common language. Of particular interest was the effect of African accents on the performance of the ASR systems. ASR technology is widely used and researched in the developed world with reported recognition accuracy of up to 99%. However, English spoken with African accents may have adverse effect on the recognition accuracy... 2014-12-29T05:04:55Z 2014-12-29T05:04:55Z 2011 Master Thesis Masters MSc http://hdl.handle.net/11427/10494 eng application/pdf Department of Computer Science Faculty of Science University of Cape Town
spellingShingle Information Technology
Florence, Idowu Modupeola
Evaluation of the usability and usefulness of automatic speech recognition among users in South Africa
thesis_degree_str Master's
title Evaluation of the usability and usefulness of automatic speech recognition among users in South Africa
title_full Evaluation of the usability and usefulness of automatic speech recognition among users in South Africa
title_fullStr Evaluation of the usability and usefulness of automatic speech recognition among users in South Africa
title_full_unstemmed Evaluation of the usability and usefulness of automatic speech recognition among users in South Africa
title_short Evaluation of the usability and usefulness of automatic speech recognition among users in South Africa
title_sort evaluation of the usability and usefulness of automatic speech recognition among users in south africa
topic Information Technology
url http://hdl.handle.net/11427/10494
work_keys_str_mv AT florenceidowumodupeola evaluationoftheusabilityandusefulnessofautomaticspeechrecognitionamongusersinsouthafrica