Please use this identifier to cite or link to this item:
https://etd.cput.ac.za/handle/20.500.11838/1156
DC Field | Value | Language |
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dc.contributor.author | Van der Walt, Craig | - |
dc.date.accessioned | 2013-02-26T05:35:08Z | - |
dc.date.accessioned | 2016-02-18T05:01:57Z | - |
dc.date.available | 2013-02-26T05:35:08Z | - |
dc.date.available | 2016-02-18T05:01:57Z | - |
dc.date.issued | 1993 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11838/1156 | - |
dc.description | Thesis (Master Diploma (Technology))--Cape Technikon, Cape Town,1993 | - |
dc.description.abstract | A study into the practical implementation of Speech Recognition for the purposes of Data Capturing within Telkom SA. is described. As datacapturing is increasing in demand a more efficient method of capturing is sought. The technology relating to Speech recognition is herein examined and practical gnidelines for selecting a Speech recognition system are described. These guidelines are used to show how commercially available systems can be evaluated. Specific tests on a selected speech recognition system are described, relating to the accuracy and adaptability of the system. The results obtained illustrate why at present speech recognition systems are not advisable for the purpose of Data capturing. The results also demonstrate how the selection of keywords words can affect system performance. Areas of further research are highlighted relating to recognition performance and vocabulary selection. | - |
dc.language.iso | en | - |
dc.publisher | Cape Technikon | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/za/ | - |
dc.subject | Automatic speech recognition | en_US |
dc.subject | Speech processing systems | en_US |
dc.title | An investigation into the practical implementation of speech recognition for data capturing | - |
dc.type | Thesis | - |
Appears in Collections: | Electrical, Electronic and Computer Engineering - Master's Degree |
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File | Description | Size | Format | |
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An investigation into the practical implementation of speech recognition for data capturing.pdf | 4.23 MB | Adobe PDF | ![]() View/Open |
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