Control System with Speech Recognition Using MFCC and Euclidian Distance Algorithm

In this paper we describe the implementation of control system with speech recognition. To implement this, we used the MFCC and Euclidian distance algorithm. Using COLEA tool we give the input acoustic wave as a speech signal. In this paper, the simulation of simple digital hearing aid was developed using MATLAB programming language. Speaker recognition systems contain two main modules: Speaker Identification and Speaker Verification. With the help of MFCC we extract the information from the recognized speech signal. MFCC, the main advantage is that it uses Mel frequency scaling which is very approximate to the human auditory system. We also used VQLBG algorithm (as proposed by Y. Linde, A. Buzo & R. Gray) to generate the codebook and after that using the Euclidian distance algorithm we compare the codebook with stored data base. The primary objective of this paper is to compare and summarize some of the well known methods used for speech recognition.

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