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A modified N Best algorithm based on Chinese syllable features

Tian Bin Yi Kechu (National Key Lab. of ISN, Xidian Univ., Xian, 710071) Zhou Zhanxin (Second Artillery Engineering College, Xian, 710025)  
In continuous speech recognition, search strategy is of great importance in determining the practicability of a recognizer because there is no explicit interval or delimiter between acoustic units. This paper proposes a fast search matching algorithm based on the features of Chinese syllables for finding N Best hypotheses, which can greatly reduce the search space without loosing the optimal path, and remarkably improve the N Best search algorithm in the performance of implementation in real time.
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