A comparison of the network speech recognition and distributed speech recognition systems and their effect on speech enabling mobile devices

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dc.contributor.advisorMashao, Danielen_ZA
dc.contributor.authorIsaacs, Daleen_ZA
dc.date.accessioned2015-01-04T14:20:12Z
dc.date.available2015-01-04T14:20:12Z
dc.date.issued2010en_ZA
dc.descriptionIncludes bibliographical references (leaves 67-75).en_ZA
dc.description.abstractOver 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.en_ZA
dc.identifier.apacitationIsaacs, D. (2010). <i>A comparison of the network speech recognition and distributed speech recognition systems and their effect on speech enabling mobile devices</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/11232en_ZA
dc.identifier.chicagocitationIsaacs, Dale. <i>"A comparison of the network speech recognition and distributed speech recognition systems and their effect on speech enabling mobile devices."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2010. http://hdl.handle.net/11427/11232en_ZA
dc.identifier.citationIsaacs, D. 2010. A comparison of the network speech recognition and distributed speech recognition systems and their effect on speech enabling mobile devices. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Isaacs, Dale AB - 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. DA - 2010 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2010 T1 - A comparison of the network speech recognition and distributed speech recognition systems and their effect on speech enabling mobile devices TI - A comparison of the network speech recognition and distributed speech recognition systems and their effect on speech enabling mobile devices UR - http://hdl.handle.net/11427/11232 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/11232
dc.identifier.vancouvercitationIsaacs D. A comparison of the network speech recognition and distributed speech recognition systems and their effect on speech enabling mobile devices. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2010 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/11232en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.titleA comparison of the network speech recognition and distributed speech recognition systems and their effect on speech enabling mobile devicesen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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