An Approach to Extract Feature using MFCC

Abstract

Speech is the most natural and efficient way of communication between humans. Lots of efforts have been made to develop a human computer interface so that one can easily interact and communicate in an unskilled way. Speech recognition systems find their applications in our daily lives and have huge benefits for those who are suffering from some kind of disabilities. This paper presents an approach to extract features from speech signal of spoken words using the Mel-Scale Frequency Cepstral Coefficients .It is a nonparametric frequency domain approach which is based on human auditory perception system. Firstly, all the voice samples of isolated words are taken as the input and by using praat tool denoise all these samples. Then coefficients are extracted by using MFCC as these coefficients collectively represent the short term power spectrum of sound. All this implementation is build in Matlab.