A modified N Best algorithm based on Chinese syllable features
Tian Bin Yi Kechu (National Key Lab. of ISN, Xidian Univ., Xian, 710071) Zhou Zhanxin (Second Artillery Engineering College, Xian, 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.