Speech Recognition System to Leverage the Accuracy of Training Sample using Optimized Matching Window
Gunjan Thakur, Anudeep Goraya · International Journal of Computer Applications · 2015
In this voice recognition system is to recognize the voice samples spoken by human and recognize over the system.In this select the most commanly used features of the voice samples with the help of MFCC(Mel frequency cofficient ceptrum) and that feature match with the real time voice sample features using DTW(Dynamic time wrapping) and it is accepted by the system.