Implementation of Voice Biometric System in the Banking Sector

Author:

M. K. Amjad Hassan Khan1,Aithal P. S.2

Affiliation:

1. Faculty, Department of Electronics, Kristu Jayanti College, Bengaluru, India and Research Scholar, Srinivas University, Mangalore, India

2. Faculty, Institute of Engineering & Technology, Srinivas University, Mangalore, India

Abstract

Purpose: The voice biometric system for verification and authentication of the user is a more advanced version. The technology is slowly grabbing the attention of researchers and industrialists for customer verification. This method allows users to use a voice instead of any code-based password which can be hacked or forgotten easily. The present research work proposes and describes the voice biometric system that can be implemented in the banking sector. The key of this entire research work is to convert the input voice into a waveform in a multifrequency range and store it in the bank server. During the authentication and verification, a customer will repeat a random phrase given by the voice assistant and then the bank server will match the voice availability. Design/Methodology/Approach: In this study, we are defining the speech biometric system architecture, which will provide rapid client authentication regardless of language. This technique generates a random word and asks the user to repeat it, rather than asking numerous questions like name, account number details, etc. The banking server will match, recognise, and authenticate the clients' voices by repeating a certain phrase, after which it will determine which customers have access. Findings/Result: This process will decide the access/denial of the usage of the banking facility to the customer. The overall results conclude that this system will help to enhance the accuracy level of recognition. Originality/Value: The conceptual framework of the speech biometric system in the banking industry is described in this research study. The system's architecture will assist the banking industry in building a robust voice biometric identification database. Paper Type: Conceptual Research.

Publisher

Srinivas University

Reference22 articles.

1. Shotton, J, Fitzgibbon, A. Cook, M. Sharp, T. Finocchio, M. Moore, R. & Blake A. (2011). Real-time human pose recognition in parts from single-depth images. In CVPR 2011 (pp. 1297-1304). IEEE.

2. David P. (2018). Fueling innovation beyond security—bio-metrics in payments. Available from: https://www.abiresearch.com/market-research/product/1031105-fueling-innovation-beyond-security-biometr [Accessed: 01 February 2018].

3. Vilar, H. (2019). Siri makes its way to Barclays as voice-controlled payments become mainstream [Online]. Available: https://ibsintelligence.com/ ibs-journal/siri-makes-way-barclays/voice -controlled-payments-become-mainstream.

4. Aikman, I. (2019). NatWest trials ‘voice banking’ with Google Assistant [Online]. Available: https://www.which.co.uk/news/2019/08/natwest-trials-voice-banking-with-google-assistant.

5. Amjad Hassan Khan M. K., Aithal P. S. (2022). Voice Biometric Systems for User Identification and Authentication – A Literature Review, International Journal of Applied Engineering and Management Letters (IJAEML), 6(1), 198–209.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improving Efficiency Through AI-Powered Customer Engagement by Providing Personalized Solutions in the Banking Industry;Advances in Marketing, Customer Relationship Management, and E-Services;2024-07-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3