Research Article
Text Dependent Speech based Biometric for Mobile Security
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 51 - Issue 17 |
| Published: August 2012 |
| Authors: L. Thulasimani |
10.5120/8136-1879
|
L. Thulasimani . Text Dependent Speech based Biometric for Mobile Security. International Journal of Computer Applications. 51, 17 (August 2012), 35-40. DOI=10.5120/8136-1879
@article{ 10.5120/8136-1879,
author = { L. Thulasimani },
title = { Text Dependent Speech based Biometric for Mobile Security },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 51 },
number = { 17 },
pages = { 35-40 },
doi = { 10.5120/8136-1879 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A L. Thulasimani
%T Text Dependent Speech based Biometric for Mobile Security%T
%J International Journal of Computer Applications
%V 51
%N 17
%P 35-40
%R 10.5120/8136-1879
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Mobile is a powerful data communication media through which confidential information can be exchanged. To communicate to the authorized person and network, biometric is used. In this paper, an efficient speaker recognition technique is proposed to solve the authenticity and security problem for the mobile in noisy environment. An effective feature extraction technique and two different speaker verification technique is used and compared to improve the recognition rate of the speaker in the noisy system for effective communication.
References
- Dennis C. Tanner, Matthew E. Tanner, "Forensic aspects of speech patterns: voice prints, speaker profiling, lie and intoxication detection", Learn How publishing, 2004.
- Kevin R. Farrell et al. , "Speaker recognition using neural networks and conventional classifiers", IEEE Transactions on Speech and AudioProcessing, vol. 2, Jan 1994, pp. 194-204.
- K. Yu et al. , "Speaker recognition using hidden Markov models, dynamic time warping, and vector quantization", in Proc. Image Signal Process, vol. 142, Oct 1995, pp. 313-318.
- D. M. Weber et al. , "A comparison between hidden Markov models and vector quantization for speech independent speaker recognition",IEEE Comsig, 1993, pp. 139-144.
- Douglas A. Reynolds et al. , "Robust text-independent speaker identification using Gaussian mixture speaker models", IEEE Transactions on Speech and Audio Processing, vol. 3, Jan 1995, pp. 72-83.
- Chularat Tanprasert et al. , "Text-dependent speaker identification using neural network on distinctive Thai tone marks", Technical Journal, vol. 1, Jan-Feb 2000, pp. 249-253.
- Hassen Seddik et al. , "Text independent speaker recognition based on attack state formants and neural network classification", IEEEInternational Conference on Industrial Technology, 2004, pp. 1649-1653.
- Mohammad M. Tanabian et al. , "Automatic speaker recognition with formant trajectory using CART and neural networks", IEEE, May 2005, pp. 1225-1228.
- R. V Pawar et al. , "Speaker identification using neural networks", World Academy of Science, Engineering and Technology, 2005, pp. 31-35.
- D. Gharavian et al. , "Statistical evaluation of the effect of gender on prosodic parameters and their influence on gender dependent speech recognition", IEEE ICICS, 2007.
- T. Lalith et al. , "Speech recognition using neural networks", IEEE International Conference on Signal Processing Systems, 2009, pp. 248-252.
Index Terms
Keywords