Gender classification using face image and voice
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 5
Abstract
Abstract: This paper is about gender classification using face image and voice of a speaker. The basic aim of the paper is to predict the gender of speaker through voice sample using Auto-correlation method and predict the gender of speaker through their face image using fisher face algorithm and integrated the obtained toincrease the accuracy of gender classifier. The algorithm has been applied with the help of MATLAB programming. A collected database of voice samples and image samples of male and female students has been concerned. The classification algorithm is applied on the database and accuracy of gender classifier isdetermined
Authors and Affiliations
Dharamraj yadav , Shashwat Shukla & Bramah Hazela
Keywords
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- EP ID EP90149
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