Robust algorithm for speech feature extraction based on wavelet transform

This paper proposed a novel approach for speech feature extraction,which promoted the robustness of speech recog-nition to noise.Wavelet transform was adopted to get both highest temporal resolution and frequency resolution in different position.So the algorithm not only yield accurate measurements,but also exhibit a low computational cost.The experiment compared traditional MFCC algorithm and this method,results demonstrate that the proposed algorithm is robust and efficient for applications in speech recognition.