A framework for knowledge representation and use in pattern analysis

In this paper a prototype Expert System oriented to signal and pattern analysis is described together with a general methodology based on a hypothesize-and-test strategy similar to the one used by a human expert. This paper focuses on the knowledge base architecture and on its use. In order to make it capable of dealing with noisy patterns, the knowledge description is based on Fuzzy logic and the inference engine is able to reason about the knowledge it uses. The system is being applied to the phonetic analysis of the voice signal in speech recognition, as a case study.

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