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Krishna, Y., Kumar, M.A. and Sekhar, C.C. (2018) Speaker Recognition for E-Governance Security. In: Shrivastava, G., Kumar, P., Gupta, B.B., Bala, S. and Dey, N., Eds., Handbook of Research on Network Forensics and Analysis Techniques, IGI Global, Hershey, 255-277.

has been cited by the following article:

• TITLE: Securing User Authentication with Server-Side Voice Verification

  AUTHORS: Deepak R. Chandran, Sanath Kumar, S. Deepashri

  KEYWORDS: Voice Authentication, Data Security, Voice Biometrics, Automatic Speech Recognition

  JOURNAL NAME: Journal of Computer and Communications, Vol.11 No.5, May 30, 2023

  ABSTRACT: User authentication is critical to the security of any information system. The traditional text-based passwords and even biometric systems based on face and fingerprint validation suffer from various drawbacks. Voice-based authentication systems have emerged as an effective alternative method. Within the user authentication systems, the server-side voice authentication systems added advantages. The purpose of this paper is to present an innovative approach to the use of voice verification for user authentication. This paper describes a new framework for the implementation of server-side voice authentication, ensuring that only the users who are authenticated and validated can access the system. In addition to providing enhanced security and a more pleasant user experience, this technology has potential applications in a wide range of fields.