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2012 Vol.31, Issue 3 Preview Page
The Automated Threshold Decision Algorithm for Node Split of Phonetic Decision Tree

음소 결정트리의 노드 분할을 위한 임계치 자동 결정 알고리즘

Beom-Seung Kim1*
,
Soon-Hyob Kim2
김 범승1*
,
김 순협2
1코레일 정보기술단
2광운대학교 컴퓨터공학과
*Corresponding Author
30 April 2012. pp. 170-178
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Abstract

In the paper, phonetic decision tree of the triphone unit was built for the phoneme-based speech recognition of 640 stations which run by the Korail. The clustering rate was determined by Pearson and Regression analysis to decide threshold used in node splitting. Using the determined the clustering rate, thresholds are automatically decided by the threshold value according to the average clustering rate. In the recognition experiments for verifying the proposed method, the performance improved 1.4~2.3 % absolutely than that of the baseline system.

Keywords
Speech recognition of train station
Phonetic decision tree
PLU
ASR

본 논문에서는 코레일에서 운영중인 640개 기차역명의 음소기반의 음성인식을 위하여 트라이폰 단위의 음소결정트리 구축 시 노드 분할 과정에서 사용되는 임계치의 결정에 있어 통계적 기법인 상관관계 분석과 회귀분석을 활용하여 군집화율을 추정하고 이를 이용한 평균 군집화율에 따른 임계치의 값에 의해 자동으로 결정하는 방법을 제안하였다. 제안된 방법의 유효성 검증을 위한 실험에서 기존의 일괄 적용된 Baseline 보다 1.4~2.3 %의 인식률 향상을 보였다.

키워드
기차역명 음성인식
음소 결정트리
유사음소단위
자동음성인식
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Information
  • Publisher :The Acoustical Society of Korea
  • Publisher(Ko) :한국음향학회
  • Journal Title :The Journal of the Acoustical Society of Korea
  • Journal Title(Ko) :한국음향학회지
  • Volume : 31
  • No :3
  • Pages :170-178
  • Received Date : 2012-02-24
  • Revised Date : 2012-03-16
  • Accepted Date : 2012-04-01
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