Research on continuous Chinese speech recognition system and knowledge based search strategies

The principle of a continuous Chinese speech recognition system was introduced, and the modeling and search strategies of its acoustic layer and language layer were also discussed in detail. On the basis of the research on the traditional frame synchronous search algorithm, the statistical knowledge based frame synchronous search (SKB-FSS) algorithm was proposed. It contains three principal modular functions: generating definite search boundaries by a merging based syllable detection automaton, controlling state transitions by the statistical differential state dwell information and restricting the syllable expansions by a word search tree and pruning unpromising paths by the dynamic forward prediction. The experimental results verifies the validity of the novel search strategies.