• Title/Summary/Keyword: 기차역명 음성인식

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The Automated Threshold Decision Algorithm for Node Split of Phonetic Decision Tree (음소 결정트리의 노드 분할을 위한 임계치 자동 결정 알고리즘)

  • Kim, Beom-Seung;Kim, Soon-Hyob
    • The Journal of the Acoustical Society of Korea
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    • v.31 no.3
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    • pp.170-178
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    • 2012
  • 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.