A New Efficient Wavelet-Based Adaptive Algorithm for Automatic Speech Quality Enhancement

In this paper, we address the problem of speech enhancement by adaptive filtering algorithm. A particular attention has been made for the backward blind source separation (BBSS) algorithm and its use in speech enhancement application. In this paper, we propose to implement the BBSS algorithm in the Wavelet-domain. The proposed backward wavelet BBSS (WBBSS) algorithm is then used in speech enhancement test. The new WBBSS shows better performances in terms of convergence speed and steady state in comparison with BBSS one. The obtained results have been evaluated in terms of segmental SNR and cepstral distance criteria and confirm the best performance of the proposed WBBSS algorithm.