Best results in terms of accuracy, area under the ROC curve, sensitivity and specificity for both configurations (GMM-UBM and iVectors) and parameterization approaches (MFCC and RASTA-PLP).
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下载链接：
https://figshare.com/articles/dataset/Best_results_in_terms_of_accuracy_area_under_the_ROC_curve_sensitivity_and_specificity_for_both_configurations_GMM-UBM_and_iVectors_and_parameterization_approaches_MFCC_and_RASTA-PLP_/5703262
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资源简介：
Best results in terms of accuracy, area under the ROC curve, sensitivity and specificity for both configurations (GMM-UBM and iVectors) and parameterization approaches (MFCC and RASTA-PLP).
创建时间：
2017-12-15
