Multi-modal gender classification using support vector machines (SVMs)

摘要

A multi-modal system for determining the gender of a person using support vector machines (SVMs). Gender classification is first performed on visual (thumbnail frontal face) and audio (feature extracted from speech) data using support vector machines (SVMs). The decisions obtained from individual SVM-based gender classifiers are used as input to train a final classifier to decide the gender of an individual.