Korean Phoneme Recognition Using duration-dependent 3-State Hidden Markov Model

음소길이를 고려한 3-State Hidden Markov Model 에 의한 한국어 음소인식

  • 유현창 (성균관 대학교 전자공학과 대학원) ;
  • 이희정 (성균관 대학교 전자공학과 대학원) ;
  • 박병철 (성균관대학교 전자공학과)
  • Published : 1989.02.01


This paper discribes the method associated with modeling of Korean phonemes. Hidden Markov models(HMM's) may be viewed as an effective technique for modeling the inherent nonstationarity of speech signal. We propose a 3-state phoneme model to represent the sequentially changing characteristics of phonemes, i.e., transition-to-stationary-to-transition. Also we clarify that the duration of a phoneme is an important factor to have an effect in recognition accuracy and show that improvement in recognition rate can be obtained by using duration-dependent 3-state hidden Markov models.