International Journal of
Physical Sciences

  • Abbreviation: Int. J. Phys. Sci.
  • Language: English
  • ISSN: 1992-1950
  • DOI: 10.5897/IJPS
  • Start Year: 2006
  • Published Articles: 2574

Full Length Research Paper

Arabic text-dependent speaker verification for mobile devices using artificial neural networks

Abdulrahman Alarifi1*, Issa Alkurtass1 and Abdul Malik S. Al-Salman2
1Computer Research Institute, King Abdulaziz City for Science and Technology, P. O. Box 6086, Riyadh 11442, Riyadh, Saudi Arabia. 2College of Computer and Information Sciences, King Saud University, P. O. Box 51178, Riyadh 11543, Saudi Arabia.
Email: [email protected]

  •  Accepted: 24 January 2012
  •  Published: 09 February 2012

Abstract

Speaker verification is one of the biometric verification techniques used to verify the claimed identity of a speaker. It is mainly applied for security reasons and managing users’ authentication. Voiceprint can be used as a unique password of the user to prove his/her identity. In this paper, we propose a new Arabic text-dependent speaker verification system for mobile devices using artificial neural networks (ANN) to recognize authorized user and unlock devices for him/her. We describe system components and demonstrate how it works. We present the performance of our system and analyze its results.

 

Key words: Speaker verification, neural network, mobile, authentication.

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This article is published under the terms of the Creative Commons Attribution License 4.0

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