Speech Coding Development for Audio fixing Using Spectrum Analysis

A new method for the enhancement of speech signals contaminated by speech-correlated noise, such as that in the output of a speech coder, is presented. This module is based on numerical speech processing algorithms which modelise the infected ear and generates the stimulus signals for the cilia cells (brain). The method is also based on constrained optimization of a criterion. This interface uses a gamma chirp filter bank constituted of 16 band pass filters based on IIR filters. The implemented method is on a block by- block basis and uses two constraints. A first constraint ensures that the signal power is preserved. A modification constraint ensures that the power of the difference of the enhanced and unenhanced signal is less than a fraction of the power of the unenhanced signal. The applied method is to increase the periodicity of the speech signal. Sounds that are not nearly periodic are perceptually unaffected by the optimization because of the modification constraint. The results demonstrated a degree of discrimination and interferences between different sounds especially in multi speaker environment.