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- W9277384 abstract "1. Abstract This study deals with the decision tree based state tying method for acoustic modeling in Chinese Speech Recognition. In this paper, the definition of the context dependent Initial-Final units is given, and the linguistic knowledge based question set used in decision tree is described. The basic question set used in our experiment is based on the classified contexts. Two methods for extending and refining the basic the question set are also proposed in this paper. One is adding simple questions (corresponding to the unclassified contexts) to particular states of the units after investigating the influence of the contexts for the states. The other one is further adding two-side questions to the extended question set. In this way, the left and the right contexts are considered at the same time during the node’s splitting. The experimental results show that the two methods can improve the performance of the acoustic model." @default.
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- W9277384 date "2001-01-01" @default.
- W9277384 modified "2023-09-24" @default.
- W9277384 title "The Definition and Extension of the Question Set for Decision Tree Based State Tying in Chinese Speech Recognition" @default.
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