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SVM classification algorithm
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Support vector machine is an important branch of statistical learning theory, and it is also a powerful tool to solve the problem of pattern recognition. This paper briefly introduces the theory of support vector machine, constructs the support vector machine based on radial basis function, and studies the recognition of Mandarin, English, Japanese, Bai and Naxi from two different telephone speech databases. The experimental results show that support vector machine can still achieve high recognition rate for different database languages.
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