Biometric Voice Recognition in Security System

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Abstract

A voice recognition system is designed to identify an administrator voice. By using MATLAB software for coding the voice recognition, the administrator voice can be authenticated. The key is to convert the speech waveform to a type of parametric representation for further analysis and processing. A wide range of possibilities exist for parametrically representing the speech signal for the voice recognition system such as Mel-Frequency Cepstrum Coefficients (MFCC). The input voice signal is recorded and computer will compare the signal with the signal that is stored in the database by using MFCC method. The voice based biometric system is based on single word recognition. An administrator utters the password once in the training session so as to train and stored. In testing session the users can utter the password again in order to achieve recognition if there is a match. By using MATLAB simulation, the output can obtain either the user is being recognized or rejected. From the result of testing the system, it successfully recognizes the specific user's voice and rejected other users' voice. In conclusion, the accuracy of the whole system is successfully recognizing the user's voice. It is a medium range of the security level system.

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APA

Shah, H. N. M., Ab Rashid, M. Z., Abdollah, M. F., Kamarudin, M. N., Lin, C. K., & Kamis, Z. (2014). Biometric Voice Recognition in Security System. Indian Journal of Science and Technology, 7(2), 104–112. https://doi.org/10.17485/ijst/2014/v7i1.9

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