Informatics Publishing Limited

Hairol Nizam Mohd. Shah ¹, Mohd. Zamzuri Ab Rashid ¹, Mohd. Fairus Abdollah ¹, Muhammad Nizam Kamarudin ¹, Kok Lin Chow ¹, Zalina Kamis ¹

Affiliations
1 Universiti Teknikal Malaysia Melaka (UTeM), Faculty of Electrical Engineering, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, MY

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.

Keywords

Biometric, Mel-Frequency Cepstrum Coefficients (MFCC), Voice Recognition

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Chow Kok Lin ¹, Zalina Kamis ¹

Affiliations
1 Department of Electrical and Electronics Engineering, Faculty of Engineering, Al-Balqa Applied University, Al-Huson College University, Al-Huson, JO

Abstract

Artificial Intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data. With all the excitement and hype about AI that’s “just around the corner”—self-driving cars, instant machine translation, etc.—it can be difficult to see how AI is affecting the lives of regular people from moment to moment. While Hollywood movies and science fiction novels depict AI as human-like robots that take over the world, the current evolution of AI technologies isn’t that scary – or quite that smart. Instead, AI has evolved to provide many specific benefits in every industry. This paper provides a summary of applications for modern examples of artificial intelligence in health care, retail and more.

Keywords

Artificial Intelligence, Speech Recognition, Human Interface

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