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.

Title
Multi-modal gender classification using support vector machines (SVMs)
Application Number
10/271911
Publication Number
20030110038
Application Date
October 16, 2002
Publication Date
June 12, 2003
Inventor
Leena A Walavalkar
State College
PA, US
Mohammed Yeasin
State College
PA, US
Rajeev Sharma
State College
PA, US
Agent
Synnestvedt & Lechner
PA, US
Agent
Mark D Simpson Esquire
PA, US
IPC
G10L 21/00
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