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Includes bibliographical references (leaves 67-75).
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| Format: | Thesis |
| Language: | English |
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Department of Electrical Engineering
2015
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| _version_ | 1867613275859976193 |
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| access_status_str | Open Access |
| author | Isaacs, Dale |
| author2 | Mashao, Daniel |
| author_browse | Isaacs, Dale Mashao, Daniel |
| author_facet | Mashao, Daniel Isaacs, Dale |
| author_sort | Isaacs, Dale |
| collection | Thesis |
| description | Includes bibliographical references (leaves 67-75). |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/11232 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:33:33.643Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| 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:11427/11232 A comparison of the network speech recognition and distributed speech recognition systems and their effect on speech enabling mobile devices Isaacs, Dale Mashao, Daniel Electrical Engineering Includes bibliographical references (leaves 67-75). Over the past 10 years there has been an exponential increase in the number of mobile subscribers worldwide. Market research has shown that the number of mobile subscribers rose to 4.3 billion towards end of Q1 in 2009. The unprecedented development of the telecommunication industry over the last decade has brought about the need for ubiquitous access to a host of different information resources and services. Today, speech remains the best medium of communication between people and it is conceivable that speech enabling mobile devices will allow users who only have mobile devices, to access all the information which is now available over the world wide web. 2015-01-04T14:20:12Z 2015-01-04T14:20:12Z 2010 Master Thesis Masters MSc http://hdl.handle.net/11427/11232 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical Engineering Isaacs, Dale A comparison of the network speech recognition and distributed speech recognition systems and their effect on speech enabling mobile devices |
| thesis_degree_str | Master's |
| title | A comparison of the network speech recognition and distributed speech recognition systems and their effect on speech enabling mobile devices |
| title_full | A comparison of the network speech recognition and distributed speech recognition systems and their effect on speech enabling mobile devices |
| title_fullStr | A comparison of the network speech recognition and distributed speech recognition systems and their effect on speech enabling mobile devices |
| title_full_unstemmed | A comparison of the network speech recognition and distributed speech recognition systems and their effect on speech enabling mobile devices |
| title_short | A comparison of the network speech recognition and distributed speech recognition systems and their effect on speech enabling mobile devices |
| title_sort | comparison of the network speech recognition and distributed speech recognition systems and their effect on speech enabling mobile devices |
| topic | Electrical Engineering |
| url | http://hdl.handle.net/11427/11232 |
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