Application of support vector machines to recognize speech patterns of numeric digits

An application of Support Vector Machine (SVM) in recognition of speech patterns is presented on this paper. In other words, numeric digits of the Brazilian Portuguese language are pre-processed by Discrete Cosine Transform (DCT) with mel-cepstral coefficients and transformed in two-dimensional matrices. Such matrices have the mean and variance of speech signals acquired by the pre-processing. Besides, after that, these matrices are applied as input of the SVM training algorithm to find the best pattern of each digit. In a third step, these patterns are compared to other independent voice bank and thus, the recognition is completed.