Aimed at the application of speech recognition, a new method of robust feature extraction is presented. The speech was decomposed by wavelet transformation, and then compressed by spectral compression scheme related to human hearing mask theory. Experimental results of MATLAB simulation show that high recognition rate can be obtained by using of the new feature in noise environment. It can make the best of robust characteristics of wavelet and reduce the difference between training and recognition environment.