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

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