CFP last date
22 April 2024
Reseach Article

Voice Recognition and Authentication as a Proficient Biometric Tool and Its Application in Online Exam for P.H People

by Dwijen Rudrapal, Smita Das, S. Debbarma, N. Kar, N. Debbarma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 12
Year of Publication: 2012
Authors: Dwijen Rudrapal, Smita Das, S. Debbarma, N. Kar, N. Debbarma
10.5120/4870-7297

Dwijen Rudrapal, Smita Das, S. Debbarma, N. Kar, N. Debbarma . Voice Recognition and Authentication as a Proficient Biometric Tool and Its Application in Online Exam for P.H People. International Journal of Computer Applications. 39, 12 ( February 2012), 6-12. DOI=10.5120/4870-7297

@article{ 10.5120/4870-7297,
author = { Dwijen Rudrapal, Smita Das, S. Debbarma, N. Kar, N. Debbarma },
title = { Voice Recognition and Authentication as a Proficient Biometric Tool and Its Application in Online Exam for P.H People },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 12 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 6-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number12/4870-7297/ },
doi = { 10.5120/4870-7297 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:26:44.873333+05:30
%A Dwijen Rudrapal
%A Smita Das
%A S. Debbarma
%A N. Kar
%A N. Debbarma
%T Voice Recognition and Authentication as a Proficient Biometric Tool and Its Application in Online Exam for P.H People
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 12
%P 6-12
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Voice Recognition is a fascinating field spanning several areas of computer science and mathematics. Reliable speech recognition is a hard problem, requiring a combination of many complex techniques; however modern methods have been able to achieve an impressive degree of accuracy. On the other hand, today, most of the companies or institutes are conducting their examinations online to be a part of this best ever growing world. In this system user can give any available examination at any accessible center as per his/her choice and authority also can condense manpower and process delay overhead. This paper offers one way to conduct online examination for physically challenged people who can use their voice only to register and attend the examination. In addition, in the course of this paper it has been tried to authenticate one registered user and to make the authentication process persistent throughout the examination interlude.

References
  1. Anil K. Jain, Arun Ross, Salil Prabhakar “An Introduction to Biometric Recognition” IEEE Transactions on circuit and systems for video technology, Vol 14, No. 1, January 2004.
  2. N.K. Ratha, J.H. Connell, and R.M. Bolle, “A Biometrics-Based Secure Authentication System,” Proc. IEEE Workshop Automatic Identification Advanced Technologies, pp. 70-73, Oct. 1999.
  3. B. Schneier, “The Uses and Abuses of Biometrics,” Comm. ACM, vol. 42, no. 8, p. 136, Aug. 1999.
  4. C. Kim and R. M. Stern, "Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power flooring," IEEE International Conference on Acoustics, Speech, and Signal Processing, March 2010, Dallas, Texas.
  5. B. Raj, M. L. Seltzer, and R. M. Stern, “Robust Speech Recognition: The Case for Restoring Missing Features,” Proc. of the Workshop on Consistent and Reliable Acoustic Cues, September, 2001, Aalborg, Denmark.
  6. Liang Zhang, Yue-ting Zhuang, Zhen-ming Yuan, Guo-hua Zhan, “A Web-Based Examination and Evaluation System for Computer Education” Proceedings of the Sixth International Conference on Advanced Learning Technologies (ICALT'06).
  7. Squires, B., Sammut, C.: Automatic speaker recognition: An application of machine learning. In: Proceeding of the 12th International Conference on Machine Learning (1995)
  8. Barbu, T.: Speech-dependent voice recognition system using a nonlinear metric. International Journal of Applied Mathematics 18(4), 501–514 (2005)
  9. K. Kumar, C. Kim, and R. M. Stern, Delta-spectral cepstral coefficients for robust speech recognition, IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2011, Prague, Czech Republic.
  10. Barbu, T., Costin, M.: Comparing Various Automatic Speaker Recognition Approaches. In: Proceedings of Symposium of Electronics and Telecommunications, ETC 2004, 6th edn. (2004)
  11. B. N.S. Babu, “Performance of an FFT based Voice coding system in Quiet and noisy environments”, IEEE Transactions on acoustics, speech and signal processing, Vol ASSP – 31, No. 5, Oct, 83.
Index Terms

Computer Science
Information Sciences

Keywords

Butterfly Algorithm Authentication Fast Fourier Transform Discrete Fourier transform Chebyshev’s Inequality