An artificial Intelligence Approach to improving Speech Recognition

 

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dc.contributor.advisor Mashao, Daniel en_ZA
dc.contributor.advisor Ventura, Neco en_ZA
dc.contributor.author Lopes, Luis Ramos dos Santos en_ZA
dc.date.accessioned 2014-07-31T10:55:06Z
dc.date.available 2014-07-31T10:55:06Z
dc.date.issued 2009 en_ZA
dc.identifier.citation Lopes, L. 2009. An artificial Intelligence Approach to improving Speech Recognition. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/5180
dc.description.abstract Speech Recognition is a technology with promising applications. However, the performance of current speech recognizers greatly limit their widespread use. Approaches to reducing the word error rate have mainly been associated with statistical techniques. As a consequence, speech recognition results can still contain sentences that are nonsensical. The method proposed here, is to analize the output of any chosen speech recognition system, in order to determine whether a sentence contains syntactic or semantic errors. This is done via a software agent that uses the information from its knowledge base to attempt to correct the errors found. A system was implemented with a small vocabulary speaker-independent continuous speech recognition system, with limited sentence structures. The achieved increase in speech recognition accuracy, shows that there are bene ts in using this approach. en_ZA
dc.subject.other Engineering en_ZA
dc.title An artificial Intelligence Approach to improving Speech Recognition en_ZA
dc.type Thesis / Dissertation en_ZA
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Engineering & the Built Environment en_ZA
dc.publisher.department Department of Electrical Engineering en_ZA
uct.type.filetype Text
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