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

 

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dc.contributor.advisor Mbogho, Audrey J W en_ZA
dc.contributor.author Florence, Idowu Modupeola en_ZA
dc.date.accessioned 2014-12-29T05:04:55Z
dc.date.available 2014-12-29T05:04:55Z
dc.date.issued 2011 en_ZA
dc.identifier.citation Florence, I. 2011. Evaluation of the usability and usefulness of automatic speech recognition among users in South Africa. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/10494
dc.description Includes abstract. en_ZA
dc.description Includes bibliographical references. en_ZA
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... en_ZA
dc.language.iso eng en_ZA
dc.subject.other Information Technology en_ZA
dc.title Evaluation of the usability and usefulness of automatic speech recognition among users in South Africa en_ZA
dc.type Master Thesis
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Science en_ZA
dc.publisher.department Department of Computer Science en_ZA
dc.type.qualificationlevel Masters
dc.type.qualificationname MSc en_ZA
uct.type.filetype Text
uct.type.filetype Image
dc.identifier.apacitation Florence, I. M. (2011). <i>Evaluation of the usability and usefulness of automatic speech recognition among users in South Africa</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Computer Science. Retrieved from http://hdl.handle.net/11427/10494 en_ZA
dc.identifier.chicagocitation Florence, Idowu Modupeola. <i>"Evaluation of the usability and usefulness of automatic speech recognition among users in South Africa."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Computer Science, 2011. http://hdl.handle.net/11427/10494 en_ZA
dc.identifier.vancouvercitation Florence IM. Evaluation of the usability and usefulness of automatic speech recognition among users in South Africa. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Computer Science, 2011 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/10494 en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Florence, Idowu Modupeola AB - 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... DA - 2011 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2011 T1 - Evaluation of the usability and usefulness of automatic speech recognition among users in South Africa TI - Evaluation of the usability and usefulness of automatic speech recognition among users in South Africa UR - http://hdl.handle.net/11427/10494 ER - en_ZA


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