A software speech recognition system using a phonetic approach.

Computer speech recognition techniques were investigated. This investigation included a study of the hearing and speech process. An algorithm was developed that used nine features to identify the phonemes in speech signals. Two of these features, the total energy and the number of zero crossings in...

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Bibliographic Details
Main Author: Everson, L Robert H.
Other Authors: Broadhurst, Anthony D.
Language:en_ZA
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10413/6153
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-ukzn-oai-http---researchspace.ukzn.ac.za-10413-61532014-02-08T03:49:07ZA software speech recognition system using a phonetic approach.Everson, L Robert H.Automatic speech recognition.Speech processing systems.Theses--Electronic engineering.Computer speech recognition techniques were investigated. This investigation included a study of the hearing and speech process. An algorithm was developed that used nine features to identify the phonemes in speech signals. Two of these features, the total energy and the number of zero crossings in a specific section of the speech signal, were obtained directly from the digitized speech signal. The other features, frequency energy bands and formant frequencies, were measured from a spectral analysis of the signal. A Hewlett Packard mini-computer was used for the development of the necessary software in FORTRAN. For the testing of the algorithm ten words, "zero" through to "nine" were used.Thesis (M.Sc.)-University of Natal, 1985.Broadhurst, Anthony D.Levy, D. C.2012-08-15T11:20:42Z2012-08-15T11:20:42Z19851985Thesishttp://hdl.handle.net/10413/6153en_ZA
collection NDLTD
language en_ZA
sources NDLTD
topic Automatic speech recognition.
Speech processing systems.
Theses--Electronic engineering.
spellingShingle Automatic speech recognition.
Speech processing systems.
Theses--Electronic engineering.
Everson, L Robert H.
A software speech recognition system using a phonetic approach.
description Computer speech recognition techniques were investigated. This investigation included a study of the hearing and speech process. An algorithm was developed that used nine features to identify the phonemes in speech signals. Two of these features, the total energy and the number of zero crossings in a specific section of the speech signal, were obtained directly from the digitized speech signal. The other features, frequency energy bands and formant frequencies, were measured from a spectral analysis of the signal. A Hewlett Packard mini-computer was used for the development of the necessary software in FORTRAN. For the testing of the algorithm ten words, "zero" through to "nine" were used. === Thesis (M.Sc.)-University of Natal, 1985.
author2 Broadhurst, Anthony D.
author_facet Broadhurst, Anthony D.
Everson, L Robert H.
author Everson, L Robert H.
author_sort Everson, L Robert H.
title A software speech recognition system using a phonetic approach.
title_short A software speech recognition system using a phonetic approach.
title_full A software speech recognition system using a phonetic approach.
title_fullStr A software speech recognition system using a phonetic approach.
title_full_unstemmed A software speech recognition system using a phonetic approach.
title_sort software speech recognition system using a phonetic approach.
publishDate 2012
url http://hdl.handle.net/10413/6153
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