A Speech Enhancement Algorithm Based on Bark-Scale Wavelet Package

The selection of threshold and curse is a key issue to determine the de-noisy effect and distortion of the output signal in speech enhancement algorithm. In this paper, combined with Bark-scale Wavelet Package, the S curve of QNN (Quantum Neural Networks) is introduced to wavelet threshold method to achieve speech enhancement. The simulation result indicates that the method presented is superior to that of traditional soft or hard threshold method. The algorithm presented can improve the quality of voice.