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《Journal of Data Acquisition and Processing》 2011-05
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Language Identification Based on Combination of Model Confusion and BIC Criteria

Xu Ying,Song Yan,Dai Lirong(Department of Electronic Engineering and Information Science,University of Science and Technology of China,Hefei,230027,China)  
In language identification,the detailed annotations can make the model parameters estimate more accurately,but these annotations are difficult to be acquired.This paper proposes a kind of model parameters estimation method based on language model confusion,combining Bayesian information criterion(BIC) for model selection,avoid acquiring large annotations.In NIST07 language recognition for 30,10 and 3 s test tasks,we presented performance comparison in the maximum likelihood(ML) criterion and the maximum mutual information(MMI) criterion,our proposed method have significantly improvement,and reach the same level as using annotations.
【Fund】: 安徽省自然科学基金(090412056)资助项目
【CateGory Index】: TN912.34
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