Speaker Verification Based on GMM Multidimensional Likelihoods and SVM
LIU MingHui, DAI BeiQian, XIE YanLu
MOEMicrosoft Key Laboratory of Multimedia Computing and Communication, University of Science and Technology of China, Hefei 230027 Department of Electronic Science and Technology, University of Science and Technology of China, Hefei 230026
Abstract：In this paper, a textindependent speaker verification system based on GMM multidimensional likelihoods and SVM is proposed, which combines the advantages of both generative model and discriminative model. In this method, the GMM multidimensional likelihoods for the test speech are regarded as new features for SVM. Experiment results of textindependent speaker verification on NIST'05 8conv4w1conv4w database show effectiveness of the proposed system.
刘明辉，戴蓓,解焱陆. 基于GMM多维概率输出的SVM话者确认*[J]. 模式识别与人工智能, 2008, 21(1): 28-33.
LIU MingHui, DAI BeiQian, XIE YanLu. Speaker Verification Based on GMM Multidimensional Likelihoods and SVM. , 2008, 21(1): 28-33.
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