Evaluation of Speech Recognition System for Security Purposes using Comparative Correlation Method

Abstract

Humans rely heavily on language for communication and most often, speech (oral) is one of the commonest means of communication. The speech recognition system is a smart system which grants access to users by recognizing the speech of the authorized user. Speech recognition is smart and precise in terms of authentication and validation. The problem with most security systems is imbalance pitch estimation, random noise and increment in theft due to poor security measures. The method used in tackling this problem is the comparative cross-correlation method, this method is used to process the voice signal, and the pitch of the signal and compare both an unauthorized and authorized signal and then give an output. From this research work, the result shows that the voice recognition system is improved and more accurate in its speech recognition and voice comparison. In conclusion, the system provides accurate speech recognition by blocking the random noise and background noise by extracting the original processed signal.