Performance Evolution of Combine Approach of MFCC &DTW Technique for Speech Recognition

This paper proposes on speech recognition for English word using Mel Frequency Cepstral Coefficients (MFCCs) and Dynamic Time Warping (DTW) introduced by Sakoe Chiba. MFCC are the coefficients which collectively represent the short-term power spectrum of a sound. That Power spectrum based on a linear cosine transform of a log power spectrum on a nonlinear Mel scale of frequency. Start point, Short time Energy and Zero crossing detector and end point detection using Mel Frequency Cepstral Coefficients and Dynamic Time Warping algorithms used for recognition of samples English word which would be by different male and female speakers. The algorithm is test for sample speech signal which are recorded. This system is used for different application for like security system and also for controlling of robot. The result shows that accuracy is all different English word is above 61.66 % and also shows a comparison for different method applied for MFCC.