Search Strategy Based on Multiple Lexicon Trees for Speech Recognition in Information Query Dialog System
Hong Wang · 2007
A few of classes often occupy large proportion of vocabulary in speech recognition for many information query dialog system,which can be used to improve traditional search algorithm based on single lexicon tree.Under the condition of using class based ngram language model,this paper presents a new search strategy which builds separate trees for some big word classes( classes that own many words) to dispenses with look-ahead computation of many words in decoding process and to use precise probabilities of language model earlier.The experiments on flight reservation dialog system show that the time efficiency of the presented method is obviously higher than single-tree method under equal computational cost.