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Automatic classification of spoken South African English variants using a transcription-less speech recognition approach
Thesis (MEng)--University of Stellenbosch, 2004.
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| Format: | Thesis |
| Language: | en_ZA |
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Stellenbosch : Stellenbosch University
2012
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| _version_ | 1867613954098855936 |
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| access_status_str | Open Access |
| author | Du Toit, A. (Andre) |
| author2 | Du Preez, J. A. |
| author_browse | Du Preez, J. A. Du Toit, A. (Andre) |
| author_facet | Du Preez, J. A. Du Toit, A. (Andre) |
| author_sort | Du Toit, A. (Andre) |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (MEng)--University of Stellenbosch, 2004. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/49866 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA |
| last_indexed | 2026-06-10T12:44:20.637Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2012 |
| publishDateRange | 2012 |
| publishDateSort | 2012 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/49866 Automatic classification of spoken South African English variants using a transcription-less speech recognition approach Du Toit, A. (Andre) Du Preez, J. A. Stellenbosch University. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Automatic speech recognition Pattern recognition systems Speech processing systems Dissertations -- Electrical and electronic engineering Theses -- Electrical and electronic engineering Thesis (MEng)--University of Stellenbosch, 2004. ENGLISH ABSTRACT: We present the development of a pattern recognition system which is capable of classifying different Spoken Variants (SVs) of South African English (SAE) using a transcriptionless speech recognition approach. Spoken Variants (SVs) allow us to unify the linguistic concepts of accent and dialect from a pattern recognition viewpoint. The need for the SAE SV classification system arose from the multi-linguality requirement for South African speech recognition applications and the costs involved in developing such applications. AFRIKAANSE OPSOMMING: Ons beskryf die ontwikkeling van 'n patroon herkenning stelsel wat in staat is om verskillende Gesproke Variante (GVe) van Suid Afrikaanse Engels (SAE) te klassifiseer met behulp van 'n transkripsielose spraak herkenning metode. Gesproke Variante (GVe) stel ons in staat om die taalkundige begrippe van aksent en dialek te verenig vanuit 'n patroon her kenning oogpunt. Die behoefte aan 'n SAE GV klassifikasie stelsel het ontstaan uit die meertaligheid vereiste vir Suid Afrikaanse spraak herkenning stelsels en die koste verbonde aan die ontwikkeling van sodanige stelsels. 2012-08-27T11:33:08Z 2012-08-27T11:33:08Z 2004-03 Thesis http://hdl.handle.net/10019.1/49866 en_ZA Stellenbosch University 156 leaves : ill. application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Automatic speech recognition Pattern recognition systems Speech processing systems Dissertations -- Electrical and electronic engineering Theses -- Electrical and electronic engineering Du Toit, A. (Andre) Automatic classification of spoken South African English variants using a transcription-less speech recognition approach |
| title | Automatic classification of spoken South African English variants using a transcription-less speech recognition approach |
| title_full | Automatic classification of spoken South African English variants using a transcription-less speech recognition approach |
| title_fullStr | Automatic classification of spoken South African English variants using a transcription-less speech recognition approach |
| title_full_unstemmed | Automatic classification of spoken South African English variants using a transcription-less speech recognition approach |
| title_short | Automatic classification of spoken South African English variants using a transcription-less speech recognition approach |
| title_sort | automatic classification of spoken south african english variants using a transcription less speech recognition approach |
| topic | Automatic speech recognition Pattern recognition systems Speech processing systems Dissertations -- Electrical and electronic engineering Theses -- Electrical and electronic engineering |
| url | http://hdl.handle.net/10019.1/49866 |
| work_keys_str_mv | AT dutoitaandre automaticclassificationofspokensouthafricanenglishvariantsusingatranscriptionlessspeechrecognitionapproach |