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Evaluation of modern large-vocabulary speech recognition techniques and their implementation
Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2009.
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| Format: | Thesis |
| Language: | English |
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Stellenbosch : University of Stellenbosch
2009
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| _version_ | 1867613895593558016 |
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| access_status_str | Open Access |
| author | Swart, Ranier Adriaan |
| author2 | Du Preez, J. A. |
| author_browse | Du Preez, J. A. Swart, Ranier Adriaan |
| author_facet | Du Preez, J. A. Swart, Ranier Adriaan |
| author_sort | Swart, Ranier Adriaan |
| collection | Thesis |
| dc_rights_str_mv | University of Stellenbosch |
| description | Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2009. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/4050 |
| institution | Stellenbosch University (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:43:25.190Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2009 |
| publishDateRange | 2009 |
| publishDateSort | 2009 |
| publisher | Stellenbosch : University of Stellenbosch |
| publisherStr | Stellenbosch : University of Stellenbosch |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/4050 Evaluation of modern large-vocabulary speech recognition techniques and their implementation Swart, Ranier Adriaan Du Preez, J. A. University of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Dissertations -- Electronic engineering Theses -- Electronic engineering Acoustic modeling Automatic speech recognition Electrical and Electronic Engineering Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2009. In this thesis we studied large-vocabulary continuous speech recognition. We considered the components necessary to realise a large-vocabulary speech recogniser and how systems such as Sphinx and HTK solved the problems facing such a system. Hidden Markov Models (HMMs) have been a common approach to acoustic modelling in speech recognition in the past. HMMs are well suited to modelling speech, since they are able to model both its stationary nature and temporal e ects. We studied HMMs and the algorithms associated with them. Since incorporating all knowledge sources as e ciently as possible is of the utmost importance, the N-Best paradigm was explored along with some more advanced HMM algorithms. The way in which sounds and words are constructed has been studied extensively in the past. Context dependency on the acoustic level and on the linguistic level can be exploited to improve the performance of a speech recogniser. We considered some of the techniques used in the past to solve the associated problems. We implemented and combined some chosen algorithms to form our system and reported the recognition results. Our nal system performed reasonably well and will form an ideal framework for future studies on large-vocabulary speech recognition at the University of Stellenbosch. Many avenues of research for future versions of the system were considered. 2009-03-02T15:51:05Z 2010-08-13T13:11:47Z 2009-03-02T15:51:05Z 2010-08-13T13:11:47Z 2009-03 Thesis http://hdl.handle.net/10019.1/4050 en University of Stellenbosch application/pdf Stellenbosch : University of Stellenbosch |
| spellingShingle | Dissertations -- Electronic engineering Theses -- Electronic engineering Acoustic modeling Automatic speech recognition Electrical and Electronic Engineering Swart, Ranier Adriaan Evaluation of modern large-vocabulary speech recognition techniques and their implementation |
| title | Evaluation of modern large-vocabulary speech recognition techniques and their implementation |
| title_full | Evaluation of modern large-vocabulary speech recognition techniques and their implementation |
| title_fullStr | Evaluation of modern large-vocabulary speech recognition techniques and their implementation |
| title_full_unstemmed | Evaluation of modern large-vocabulary speech recognition techniques and their implementation |
| title_short | Evaluation of modern large-vocabulary speech recognition techniques and their implementation |
| title_sort | evaluation of modern large vocabulary speech recognition techniques and their implementation |
| topic | Dissertations -- Electronic engineering Theses -- Electronic engineering Acoustic modeling Automatic speech recognition Electrical and Electronic Engineering |
| url | http://hdl.handle.net/10019.1/4050 |
| work_keys_str_mv | AT swartranieradriaan evaluationofmodernlargevocabularyspeechrecognitiontechniquesandtheirimplementation |