Evaluation of the usability and usefulness of automatic speech recognition among users in South Africa
| 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.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.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.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.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 |
| dc.identifier.uri | http://hdl.handle.net/11427/10494 | |
| 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.language.iso | eng | en_ZA |
| dc.publisher.department | Department of Computer Science | en_ZA |
| dc.publisher.faculty | Faculty of Science | en_ZA |
| dc.publisher.institution | University of Cape Town | |
| 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 | |
| dc.type.qualificationlevel | Masters | |
| dc.type.qualificationname | MSc | en_ZA |
| uct.type.filetype | Text | |
| uct.type.filetype | Image | |
| uct.type.publication | Research | en_ZA |
| uct.type.resource | Thesis | en_ZA |
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