This paper describes an approach of isolated speech recognition by using the Mel-Scale Frequency

Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW). Several features are extracted speech signal

of spoken words. An experimental of total five speakers, speaking 10 digits each is collected under

acoustically controlled room is taken. MFCC are extracted speech signal of spoken words. To cope with different

speaking speeds in speech recognition Dynamic Time Warping (DTW) is used. DTW is an algorithm, which is used for

measuring similarity between two sequences, which may vary in time or speed.-This paper describes an approach of isolated speech recognition by using the Mel-Scale Frequency

Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW). Several features are extracted　speech signal

of spoken words. An experimental　of total five speakers, speaking 10 digits each is collected under

acoustically controlled room is taken. MFCC are extracted　speech signal of spoken words. To cope with different

speaking speeds in speech recognition Dynamic Time Warping (DTW) is used. DTW is an algorithm, which is used for

measuring similarity between two sequences, which may vary in time or speed.