Studies on Wavelet Based Linear Prediction Coefficients for Natural Sounding Speech using Different Windowing Techniques

This paper is aimed at to study LPC for Natural speech with different windowing techniques the effect of window shape on improving the speech quality by reducing the noise with the help of fixed and variable Windows with optimum shape. In the speech process signal corrupted by noise is segmented into frames and each segment is windowed using different Window with variation in the shape parameters. The windowed speech segment is transformed using Discrete Fourier Transform (DFT). After applying the speech algorithms this signal is reconstructed back in time domain. It is observed in this study that the window shape place its role on the speech enhancement process. The quality of the enhanced speech was measured using five objective measures of speech enhancement process. This work proposed an optimum constant for the variable and fixed windows to decide its shape. Good results or reported.