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Improving performance of a GSM-based speech recognizer
[page 73 missing] Communication between human beings is important and the most effective way of passing information. Humans are also able to communicate with machines for instance, computers, where keyboards and typing are the means of communication. Most people can speak but not everyone can read o...
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| Format: | Thesis |
| Language: | English |
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Department of Electrical Engineering
2024
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| _version_ | 1867613264575201280 |
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| access_status_str | Open Access |
| author | Lupembe, Samson |
| author2 | Mashao, D. J |
| author_browse | Lupembe, Samson Mashao, D. J |
| author_facet | Mashao, D. J Lupembe, Samson |
| author_sort | Lupembe, Samson |
| collection | Thesis |
| description | [page 73 missing] Communication between human beings is important and the most effective way of passing information. Humans are also able to communicate with machines for instance, computers, where keyboards and typing are the means of communication. Most people can speak but not everyone can read or write. Therefore, if we could get the machines to understand human speech, we could be able to communicate with people (and even make communicating with computers open to many people). This is the main motivation behind Automatic Speech Recognition (ASR) as a field of research, to enable machines to recognize human speech. Automatic Speech Recognition may then be defined as a process carried out by a machine to extract information contained in a captured acoustic speech signal and converting it into words. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/40216 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:33:23.204Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/40216 Improving performance of a GSM-based speech recognizer Lupembe, Samson Mashao, D. J Electrical Engineering [page 73 missing] Communication between human beings is important and the most effective way of passing information. Humans are also able to communicate with machines for instance, computers, where keyboards and typing are the means of communication. Most people can speak but not everyone can read or write. Therefore, if we could get the machines to understand human speech, we could be able to communicate with people (and even make communicating with computers open to many people). This is the main motivation behind Automatic Speech Recognition (ASR) as a field of research, to enable machines to recognize human speech. Automatic Speech Recognition may then be defined as a process carried out by a machine to extract information contained in a captured acoustic speech signal and converting it into words. 2024-07-02T10:22:43Z 2024-07-02T10:22:43Z 2004 2024-06-25T13:52:58Z Thesis / Dissertation Masters MSc http://hdl.handle.net/11427/40216 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment |
| spellingShingle | Electrical Engineering Lupembe, Samson Improving performance of a GSM-based speech recognizer |
| thesis_degree_str | Master's |
| title | Improving performance of a GSM-based speech recognizer |
| title_full | Improving performance of a GSM-based speech recognizer |
| title_fullStr | Improving performance of a GSM-based speech recognizer |
| title_full_unstemmed | Improving performance of a GSM-based speech recognizer |
| title_short | Improving performance of a GSM-based speech recognizer |
| title_sort | improving performance of a gsm based speech recognizer |
| topic | Electrical Engineering |
| url | http://hdl.handle.net/11427/40216 |
| work_keys_str_mv | AT lupembesamson improvingperformanceofagsmbasedspeechrecognizer |