An improved method for speech enhancement based on 2D-DWT using hybrid weiner filtering

In this paper, a speech enhancement technique proposed by Soon and Koh is examined and improved by exploiting different window functions for pre-processing of speech signals. In this method, instead of using two-dimensional (2-D) Discrete Fourier Transform, Discrete Wavelet Transform is employed with a hybrid wiener filter based on one-dimensional (1-D) wiener filter and 2-D Wiener filter. A comparative study of performance of different window functions such as Blackman, Cosh and Exponential windows has been made in terms of Signal to Noise Ratio (SNR), Maximum Error (ME), and Mean Square Error (MSE). When compared, Cosh window gives the best performance than all other known window functions.