Age and Gender voice Recognition using Deep learning

Authors

  • Santhiya S Department of Computer Science and Engineering, Excel Engineering College, Komarapalayam, Tamil Nadu, India Author
  • N. Nanda Kumar Assistant Professor, Department of Computer Science and Engineering, Excel Engineering College, Komarapalayam, Tamil Nadu, India Author

DOI:

https://doi.org/10.32628/CSEIT2410336

Keywords:

Convolutional Neural Networks, AGFW Dataset

Abstract

Since the advent of social media, there has been an increased interest in automatic age and gender classification through facial images. So, the process of age and gender classification is a crucial stage for many applications such as face verification, aging analysis, ad targeting and targeting of interest groups. Yet most age and gender classification systems still have some problems in real-world applications. This work involves an approach to age and gender classification using multiple convolutional neural networks (CNN). The proposed method has 5 phases as follows: face detection, remove background, face alignment, multiple CNN and voting systems. The multiple CNN model consists of three different CNN in structure and depth; the goal of this difference It is to extract various features for each network. Each network is trained separately on the AGFW dataset, and then we use the Voting system to combine predictions to get the result.

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References

Aurelian Gerona (2019). Hands-on Machine Learning with Sickest- Learn, Keras, and TensorFlow: Second Edition.

His ham, A., Haring, S. (2017). Deep Learning – the new kid in Artificial Intelligence

Robin Nixon (2014). Learning PHP, MySQL, JavaScript, CSS HTML5:A Step-by-Step Guide to Creating Dynamic

Choi, S.E.; Lee, Y.J.; Lee, S.J.; Park, K.R.; Kim, J. Age Estimation Using Hierarchical Classifier Based on Global and Local Facial Features, Pattern Recognition

Ricanek, K.; Tesafaye, T. Morph: A Longitudinal Image Database of Normal

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Published

06-06-2024

Issue

Section

Research Articles

How to Cite

[1]
Santhiya S and N. Nanda Kumar, “Age and Gender voice Recognition using Deep learning”, Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol, vol. 10, no. 3, pp. 497–501, Jun. 2024, doi: 10.32628/CSEIT2410336.

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