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Mr. Anand Mantri et al Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 4, Issue 2( Version 1), February 2014, pp.715-719 Table1. Recognition rate with different input voice samples

S. No.

No. of training voice

Recognition rate

1

8

0.875

2

16

0.937

3

24

0.958

V. CONCLUSION Voice Recognition technology is relate to taking the human voice and converting it into words, commands, or a variety of interactive applications. In addition, voice recognition takes this application one step further by using it to verify, identity, and understand basic commands. These technologies will play a greater role in the future and even threaten to make the keyboard obsolete. Initially looking at the experiment, the plan was to have a text-dependent system, or a speaker verification system, or something that could actually determine what word was being spoken to the system by the user. It has become painfully clear that that would be a very difficult task to accomplish, and would require much more time, effort. Our system is, relatively successful –it identified speakers at a rate of almost 80-95% - a very good recognition rate for a basic system.

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www.ijera.com

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P. Li and H. Tang, “Design a co-processor for output probability Calculation in speech recognition,” in Proc. IEEE ISCAS, 2009, [7] Jia-Ching Wang, Jhing-Fa Wang*, YuSheng Weng “Chipdesign of MFCC extraction for speech recognition” INTEGRATION, the VLSI journal 32 (2002) [8] Corneliu Octavian DUMITRU, Inge GAVAT, “A Comparative Study of Feature Extraction Methods Applied to Continuous Speech Recognition in Romanian Language”, 48th International Symposium ELMAR-2006, 07-09 June 2006, Zadar, Croatia [9] DOUGLAS O’SHAUGHNESSY, “Interacting With Computers by Voice: Automatic Speech Recognition and Synthesis”, Proceedings of the IEEE, VOL. 91, NO. 9, September 2003, [10] Mahdi Shaneh, and Azizollah Taheri “Voice Command Recognition System Based on MFCC and VQ Algorithms“World Academy of Science, Engineering and Technology [11] Lindasalwa Muda, Mumtaj Begam and I. Elamvazuthi”Voice Recognition Algorithms using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time Warping (DTW) Techniques” JOURNAL OF COMPUTING, VOLUME 2, ISSUE 3, MARCH 2010, ISSN 2151-9617 [12] Kashyap Patel, R.K.Prasad .”Speech Recognition and Verification Using MFCC &VQ” International Journal of Emerging Science and Engineering(IJESE) ISSN: 2319–6378,Volume-1, Issue-7, May 2013 [6]

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