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

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 develo...

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Bibliographic Details
Main Author:	Isaacs, Dale
Other Authors:	Mashao, Daniel
Format:	Dissertation
Language:	English
Published:	University of Cape Town 2015
Subjects:	Electrical Engineering
Online Access:	http://hdl.handle.net/11427/11232

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spelling	ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-112322020-12-10T05:11:07Z 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 University of Cape Town Faculty of Engineering and the Built Environment Department of Electrical Engineering
collection	NDLTD
language	English
format	Dissertation
sources	NDLTD
topic	Electrical Engineering
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
description	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.
author2	Mashao, Daniel
author_facet	Mashao, Daniel Isaacs, Dale
author	Isaacs, Dale
author_sort	Isaacs, Dale
title	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_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_sort	comparison of the network speech recognition and distributed speech recognition systems and their effect on speech enabling mobile devices
publisher	University of Cape Town
publishDate	2015
url	http://hdl.handle.net/11427/11232
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A comparison of the network speech recognition and distributed speech recognition systems and their effect on speech enabling mobile devices

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