Development of a Low-Cost Security System Based on Voice Recognition Using Artificial Intelligence

International Journal of Electrical and Electronics Engineering

© 2024 by SSRG - IJEEE Journal

Volume 11 Issue 6

Year of Publication : 2024

Authors : Willians Jeremy Luna Condori, Emily Juliana Mamani Macedo, Alex Leon Ppacco Huamani, Jesús Talavera S., Jarelh Galdos

10.14445/23488379/IJEEE-V11I6P135

How to Cite?

Willians Jeremy Luna Condori, Emily Juliana Mamani Macedo, Alex Leon Ppacco Huamani, Jesús Talavera S., Jarelh Galdos, "Development of a Low-Cost Security System Based on Voice Recognition Using Artificial Intelligence," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 6, pp. 351-358, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I6P135

Abstract:

Voice recognition has been widely used in various applications, especially in the field of security. In this paper, we propose the development of a low-cost security system based on voice recognition using artificial intelligence. The system utilizes a Raspberry Pi 4B as a microcontroller and Python as a programming language. The system works with a pre-recorded database of voices from 20 people, and the new user’s voice is matched against the pre-recorded voices using Gaussian Mixture Model (GMM). We extracted Mel-Frequency Cepstral Coefficients (MFCC) from the recorded voices, which were used to train the GMM. The system achieved an accuracy rate of 95.42%, with an equal error rate of 4.57%. The proposed system is low-cost and easy to use, making it accessible to a wider audience. However, it has some limitations, such as only being able to work with a pre-recorded database of voices.

Keywords:

Voice recognition, Security system, Gaussian mixture model, Mel-frequency cepstral coefficients, Low-cost biometric-systems.

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