Enhancing Security via Speaker Recognition

1 Department of Biomedical Engineering and Sciences, National University of Sciences and Technology, Islamabad, Pakistan.
2 Gina Cody School of Engineering, Concordia University, Montreal, Montreal, Canada.
3 Department of Electrical Engineering, Pakistan Institute of Engineering and Technology, Pakistan.
* Corresponding author. Email: babaraffaf@gmail.com (A.K.)
Manuscript submitted September 22, 2023; accepted November 23, 2023; published December 8, 2023.

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Abstract—In this era of globalization, networking, and the bulk of the information they demand reliable identity verification is quintessential. An efficient means to do this is using biometrics as a method of identification. The current biometric method, voice biometrics, may be an inexpensive and precise confirmation technology widely utilized in recent decades. Voiceprint, human biological characteristics, possess unique physiognomic features for every individual who is difficult to counterfeit, imitate, and replace. As a non-contact identification technology, the users are accepting Voice Recognition Technology and extensively deployed in authentication and assisting systems. The procedure of recognizing or refusing the individuality claim of a user is established on the individual’s exclusive information present in the speech wave shape. Recently it received expanding interest in the past two decades, as an accessible, comprehensible way of substituting (supplementing) basic password-type matching.

Index Terms—ASR, LBG, MATLAB, MFCC, VQ, LBGVQ

Cite: Affaf Khan^1,*, Arqam Nawaz Babar², Ali Iqrash³, Akbar Ali³, "Enhancing Security via Speaker Recognition," Journal of Advances in Artificial Intelligence vol. 1, no. 3, pp. 154-164, 2023.

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).