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Department of Computer Science

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

Abstract

dc:description.abstract

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...

Degree

thesis:*
Grantor dc:publisher.institution
Department of Computer Science
Year dc:date.issued
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Florence, Idowu Modupeola
Advisor dc:contributor.advisor
  • Mbogho, Audrey J W

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/10494
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/10494

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
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citation

Florence, Idowu Modupeola. Evaluation of the usability and usefulness of automatic speech recognition among users in South Africa. Department of Computer Science, 2011. http://hdl.handle.net/11427/10494