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http://dx.doi.org/10.7776/ASK.2012.31.3.170

The Automated Threshold Decision Algorithm for Node Split of Phonetic Decision Tree  

Kim, Beom-Seung (코레일 정보기술단)
Kim, Soon-Hyob (광운대학교 컴퓨터공학과)
Publication Information
The Journal of the Acoustical Society of Korea / v.31, no.3, 2012 , pp. 170-178 More about this Journal
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;
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Times Cited By KSCI : 2  (Citation Analysis)
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