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.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:ukzn/oai:http://researchspace.ukzn.ac.za:10413/6153 |
| Date | January 1985 |
| Creators | Everson, L Robert H. |
| Contributors | Broadhurst, Anthony D., Levy, D. C. |
| Source Sets | South African National ETD Portal |
| Language | en_ZA |
| Detected Language | English |
| Type | Thesis |
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