Method of speech recognition using decoded state sequences having constrained state likelihoods

摘要

The invention is a speech recognition system and method for transmitting information including the receipt and decoding of speech information such as that modeled by hidden Markov models (HMMs). In this invention, the state likelihoods of the modeled state sequences contained within the speech information are assigned penalties based on the difference between those state likelihoods and a maximum possible state likelihood. Once penalties have been assigned, the modified state sequence with the modified state likelihoods having the highest cumulative state likelihoods is used in further speech recognition processing. In this manner, state sequences having no extremely poor state likelihoods are favored over those having both extremely high and extremely poor state likelihoods.