Improving performance of a GSM-based speech recognizer

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dc.contributor.advisorMashao, D. J
dc.contributor.authorLupembe, Samson
dc.date.accessioned2024-07-02T10:22:43Z
dc.date.available2024-07-02T10:22:43Z
dc.date.issued2004
dc.date.updated2024-06-25T13:52:58Z
dc.description.abstract[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.
dc.identifier.apacitationLupembe, S. (2004). <i>Improving performance of a GSM-based speech recognizer</i>. (). ,Faculty of Engineering and the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/40216en_ZA
dc.identifier.chicagocitationLupembe, Samson. <i>"Improving performance of a GSM-based speech recognizer."</i> ., ,Faculty of Engineering and the Built Environment ,Department of Electrical Engineering, 2004. http://hdl.handle.net/11427/40216en_ZA
dc.identifier.citationLupembe, S. 2004. Improving performance of a GSM-based speech recognizer. . ,Faculty of Engineering and the Built Environment ,Department of Electrical Engineering. http://hdl.handle.net/11427/40216en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Lupembe, Samson AB - [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. DA - 2004 DB - OpenUCT DP - University of Cape Town KW - Electrical Engineering LK - https://open.uct.ac.za PY - 2004 T1 - Improving performance of a GSM-based speech recognizer TI - Improving performance of a GSM-based speech recognizer UR - http://hdl.handle.net/11427/40216 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/40216
dc.identifier.vancouvercitationLupembe S. Improving performance of a GSM-based speech recognizer. []. ,Faculty of Engineering and the Built Environment ,Department of Electrical Engineering, 2004 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/40216en_ZA
dc.language.rfc3066eng
dc.publisher.departmentDepartment of Electrical Engineering
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.subjectElectrical Engineering
dc.titleImproving performance of a GSM-based speech recognizer
dc.typeThesis / Dissertation
dc.type.qualificationlevelMasters
dc.type.qualificationlevelMSc
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