AUTOMATION SYSTEM TO CLASSIFY HUMAN VOICE USING NEURAL NETWORK
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 3
Abstract
With the development of more and more identification system to identify a person, there is a need of development of system that can provide personal identification task such as gender identification automatically without any human interface. Gender identification using voice of a person is comparatively easier than from facial images. There exist several algorithms for automatic gender identification but none of them is been found to be 100% efficient. In this project, noble gender identification is been proposed. It identifies gender in near real time by utilizing all possible characteristics of human voice in terms of pitch. This feature provides input to trained Neural Network. Feed forward neural network is trained by providing database.
Authors and Affiliations
Arshi Anjum
Keywords
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- EP ID EP90541
- DOI 10.5281/zenodo.47583
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