Automatic Speech Recognition using correlation analysis

The growth in wireless communication and mobile devices has supported the development of Speech recognition systems. So for any speech recognition system feature extraction and patter matching are two very significant terms. In this paper we have developed a simple algorithm for matching the patterns to recognize speech. We used Mel frequency cepstral coefficients (MFCCs) as the feature of the recorded speech. This algorithm is implemented simply by using the principle of correlation. All the simulation experiments were carried out using MATLAB where the method produced relatively good results. This paper gives a details introduction of recorded speech processing, design considerations and evaluation results.