An artificial Intelligence Approach to improving Speech Recognition

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.

Grantor dc:publisher.institution

Department of Electrical Engineering

Year dc:date.issued

2009

Author dc:creator

• Lopes, Luis Ramos dos Santos

Advisors dc:contributor.advisor

• Mashao, Daniel
• Ventura, Neco

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/5180

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/5180