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- W2355742320 abstract "SVM is a novel type of statistical learning methods that has been successfully used in speaker recognition. However, training SVM consumes long computing time with all speech parameters. A Kernel-based fuzzy clustering was proposed to overcome large quantities of data, speech parameters were selected at boundary of each cluster as SVs. The training data and time can be reduced significantly without deteriorating recognition performance. The validity of the method was verified by the experimental." @default.
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- W2355742320 date "2007-01-01" @default.
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- W2355742320 title "Speaker Identification System based on Kernel-based Fuzzy Clustering and Support Vector Machines" @default.
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