Speech Verification using Similar Word Information in Isolated Word Recognition

고립단어 인식에 유사단어 정보를 이용한 단어의 검증

  • 백창흠 (경북대학교 전자전기공학부) ;
  • 이기정홍재근 (경북대학교 전자전기공학부 포항1대학 전자계산기과)
  • Published : 1998.10.01

Abstract

Hidden Markov Model (HMM) is the most widely used method in speech recognition. In general, HMM parameters are trained to have maximum likelihood (ML) for training data. This method doesn't take account of discrimination to other words. To complement this problem, this paper proposes a word verification method by re-recognition of the recognized word and its similar word using the discriminative function between two words. The similar word is selected by calculating the probability of other words to each HMM. The recognizer haveing discrimination to each word is realized using the weighting to each state and the weighting is calculated by genetic algorithm.

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