Revision of Language Model Based on Duration in Language Verification
语种确认中基于段长的语言模型修正方法*

A novel approach is proposed to improve estimation of language model probability, revision factors and weights are used for achieving new language model estimation. Evaluation on CALLFRIEND Corpus shows 11.54% best relative improvement in EER on single phone recognition system and 6. 93% relative improvement in EER on parallel phone recognition system, the final EER is 9. 50%.