Biometric Voice Recognition In Security System

Chow, Kok Lin (2013) Biometric Voice Recognition In Security System. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Biometrics is the new technology to measure the user features parameters. Voice recognition is the process of automatically recognize a certain word spoken by the admin user based on individual information included in speech waves. Signal processing for extracting the feature parameters of the user is an important stage in the voice recognition system. In this project, 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 some 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 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 MA TLAB 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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