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 userβs voice and rejected other usersβ voice. In conclusion, the accuracy of the whole system is successfully recognizing the userβs voice. It is a medium range of the security level system.
Highlights
A lot of residential area and the companies are using all kinds of security system to make sure their property is secured such as using password and User ID/Pin for protection
The voice recognition system is safe for the administrator user
The issue of voice recognition is studied and a voice recognition system is developed for certain word being spoken[1]
Summary
A lot of residential area and the companies are using all kinds of security system to make sure their property is secured such as using password and User ID/Pin for protection. All these security system is not secured at all because the pin code can be hacked, the ID card can be stolen and duplicated. Voice is the most natural way to Βcommunicate for humans. Each human has a unique tone, rhythm, frequency and pitch to express including where they stop in phrases and how quickly they speak depending on where they are in a phrase[2]. The highest value of the frequency that a human can produce is about 10 kHz while the lowest value is about 70 Hz
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