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  2012, Vol. 25 Issue (5): 755-761    DOI:
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A Vocal Password System Based on Multi-Dimension Feature Classifier in Score Domain
PAN Yi-Qian1, WEI Si2, Dai Li-Rong1, LIU Qing-Feng1,2
1. iFlytek Speech Laboratory,University of Science and Technology of China,Hefei 230027
2.Anhui USTC iFLYTEK Co.,Ltd.,Hefei 230088

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Abstract  As providing the score of different types of data the same weight, the average likelihood ratio verification measure used in GMM-UBM vocal password system brings decline in the system performance. Based on the different distinguished capacity between data types, a method is proposed in the score domain which classifies the test data by UBM, combines the likelihood ratio score of each class to form new multi-dimension feature, and then implements speaker verification by SVM. By use of the proposed strategy, the traditional likelihood ratio test is converted into a two-class classification problem in the multi-dimension feature space. The equal error rate of the proposed system is relatively 41.25%, 33.33%, 37.49% and 26.03% less than that of text-dependent GMM-UBM system in the co-channel experiments on four telephone corpuses respectively. The improvement of performance is also demonstrated through the cross-channel experiments.
Key wordsVocal Password      Gaussian Mixture Model-Universal Background Model (GMM-UBM)      Average Likelihood Ratio      Two-Class Classifier     
Received: 13 June 2011     
ZTFLH: TN912.34  
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PAN Yi-Qian
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PAN Yi-Qian,WEI Si,Dai Li-Rong等. A Vocal Password System Based on Multi-Dimension Feature Classifier in Score Domain[J]. , 2012, 25(5): 755-761.
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http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2012/V25/I5/755
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