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The classification of pathological voice from healthy voice was studied based upon 27 acoustic features derived from a single sound signal of vowel /a:/. First, the feature space was transferred to reduce the data dimension by principle component analysis (PCA). Then the voice samples were classified according to the reduced PCA parameters by support vector machine (SVM) using radial basis function (RBF) as a kernel function. Meanwhile, by changing the ratio of opposite class samples, the accuracy under different features combinations was tested. Experimental data were provided by the voice database of Massachusetts Eye and Ear Infirmary (MEEI) in which 216 vowel /a:/ samples were collected from subjects of healthy and pathological cases, and tested with 5 fold cross-validation method. The result shows the positive rate of pathological voices was improved from 92% to 98% through the PCA method. STD, Fatr, Tasm, NHR, SEG, and PER are pathology sensitive features in illness detection. Using these sensitive features the accuracy of detection of pathological voice from healthy voice can reach 97%. 相似文献
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钾盐主要用作钾肥,钾肥是农业三大肥料之一,中国是一个拥有13亿多人口的农业大国,耕地资源紧缺,为了保证粮食安全和对农产品需求而需要不断增加作物产量,形成了中国特有的化肥高量投入的耕作体系。随着我国经济快速发展,我国对钾肥消费是快速增长,钾肥消费量年均增速在8．6％左右,如2013年我国钾肥（K2O）消费量达617．7万吨,较2001年消费量399．78万吨相比,增加快1倍多。 相似文献
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