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A new unit, named word fragment of language model was proposed to take full advantage of the Chinese linguistic information among adjacent syllables, and an algorithm for word fragment selection was studied.The experimental results show, with the language model based on word fragment, syllable accuracy for recognizer is improved and the speech retrieval system gives better performance than the one with only syllable based model.

The traditional method of speakers segmentation based on Bayesian information criterion（BIC） was improved.New speakers segmentation method adopted a pre-segmentation process to decrease calculation spending.Theory analy-sis and experiments show that the method of speakers segmentation based on pre-segmentation makes the amount of cal-culation controlled,on the premise of realizing the basic segmentation performance.

A new unit, named word fragment of language model was proposed to take full advantage of the Chinese linguistic information among adjacent syllables, and an algorithm for word fragment selection was studied.The experimental results show, with the language model based on word fragment, syllable accuracy for recognizer is improved and the speech retrieval system gives better performance than the one with only syllable based model.

The traditional method of speakers segmentation based on Bayesian information criterion（BIC） was improved.New speakers segmentation method adopted a pre-segmentation process to decrease calculation spending.Theory analy-sis and experiments show that the method of speakers segmentation based on pre-segmentation makes the amount of cal-culation controlled,on the premise of realizing the basic segmentation performance.