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This paper describes a method to recognize the age and gender of a user on the basis of human speech. Using voice source characteristics of the Mel frequency cepstral coefficients (MFCCs), a Gaussian mixture model (GMM) technique is applied in an effort to discover the age, gender, and other information as regards a user. On the basis of this information, service applications for robots can satisfy...
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