Computer recognition of plosive sounds using contextual information

Abstract

The design of the plosive consonant recognition component of a speech understanding system is described. The recognition rules used incorporate information on coarticulatory and multiple cue effects. The rule combination and scoring system is a fuzzy model of the human speech perception and information integration mechanism. These rules can be also used in classical stochastic models or dynamic programming approaches to automatic speech recognition.