Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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음성인식을 위한 은닉마코프모형 연구

  • 손건태 (부산대학교 통계학과) ;
  • 정상화 (부산대학교 컴퓨터공학과) ;
  • 박민욱 (부산대학교 컴퓨터공학과)
  • Published : 1998.04.01
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Abstract

음성자동인식을 위한 통계적 방법으로 은닉마코프모형이 널리 사용되고 있다. 이산형 은닉마코프모형보다 인식률이 우수한 연속형 은닉마코프모형을 고려하였으며, 인식을 위한 비터비(Viterbi) 알고리즘을 병렬화시켜 인식속도를 빠르게 하는 인식 알고리즘을 제안하였다. 제안된 방법으로 실험을 통하여 인식률과 인식속도 개선률(speed-up)을 살펴보았다.

Keywords

References

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