This paper presents a mehtod to integrate the class bigram language model effectively to the lexical tree decoder. the method reduces the memory requirement and search effort in comparison with the conventional lexical tree search with word bigram language model. The decoder is based o na time-synchronous beam search, using cross-word triphone acoustic model. To demonstrate its effectiveness, the algorithm is tested with a stock query task. Experimetnal resutls show that the lexical tree decoder based on a class bigram can reduce the search space by 11.8
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