Apparatus and method for normalizing and categorizing linear prediction code vectors using Bayesian categorization technique

摘要

The present invention discloses a pattern matching system applicable for syllable recognition which includes a dictionary means for storing a plurality of standard patterns each representing a standard syllable by at least a syllable feature. The pattern matching system further includes a converting means for converting an input pattern representing an unknown syllable into a categorizing pattern for representing the unknown syllable in the syllable features used for representing the standard syllables. The pattern matching system further includes a Bayesian categorizing means for matching the standard pattern representing the standard syllable and the categorizing pattern representing the unknown syllable for computing a Bayesian mis- categorization risk for each of the standard syllables, the Bayesian categorization means further including a comparing and identification means for selecting a standard syllable which has the least mis- categorization risk as an identified syllable for the input unknown syllable.