关键词: 语种识别, 高斯混合模型, 支持向量机, 高斯超矢量

Abstract: The Support Vector Machine（SVM） has been widely used in language recognition. It has reached comparable performance with the traditional Gaussian Mixture Model（GMM）. Gaussian Super Vector-Support Vector Machine（GSV-SVM）, which effectively combines GMM and SVM, is presented in this paper. The experiments are carried out on the NIST LRE2003 and LRE2007 test corpus. The results indicate that the GSV-SVM system can achieve significant improvements on the long-time duration test set, compared with the method of GMM.

Key words: language recognition, Gaussian mixture model, support vector machine, Gaussian super vector