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Prediction of Gender Using Machine Learning

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • K. Ramcharan

    (SRM Institute of Science and Technology, Big Data Analytics)

  • K. Sornalakshmi

    (SRM Institute of Science and Technology)

Abstract

Most of the complex cellular organisms are divided into genders. Genders are of two types. Gender of an organism would be a male or a female. Each Gender has its own behavioural and physical properties. By behavioural and physical appearance of an individual, one can easily identify the gender of a person. This project deals with the identification of the gender of an individual. Voice is used in this project as an input. The individuals’ voice can be useful only if it is taken in Acoustic form. An Acoustic form of voice is the numerical value for particular speech. These numerical values are used to find patterns of voice of individuals. Different insights are drawn between attributes of voices of people and Machine Learning techniques are applied to get the results from a person’s voice.

Suggested Citation

  • K. Ramcharan & K. Sornalakshmi, 2020. "Prediction of Gender Using Machine Learning," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 1265-1274, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_128
    DOI: 10.1007/978-3-030-41862-5_128
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