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In this work, a gender-to-age hierarchical analysis structure is proposed rather than directly classifying speech clips into gender and age categories. A two-stage Support Vector Machine (SVM) classifier is adopted to identify a female and male, and then conduct an age classification. To realize the gender recognition, the mean of the fundamental frequency and the standard deviation of the fast Fourier...
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