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This paper proposes the implementation of a Support Vector Machine (SVM) for automatic recognition of numerical speech commands. Besides the pre-processing of the speech signal with mel-ceptral coefficients. Also, this paper is used to Discrete Cosine Transform (DCT) to generate a two-dimensional matrix used as input to SVM algorithm for generating the pattern of words to be recognized. The Support Vector Machines represent a new approach to pattern classification. SVM is used to recognizefatcat:qu2pb4pkibbw3i4v5sieo5p4oq