LAUSR

Abstract The two-channel forward adaptive filtering algorithms show a good performance in terms of speech-noise separation. The symmetric adaptive decorrelation (SAD) algorithm represents an efficient solution to resolve the acoustic noise reduction problem. The drawback of the classical full-band forward SAD algorithm is its poor performance in term of convergence rate (low) and speech quality (less). In this paper, we propose two contributions. (i) Firstly, a new sub-band configuration of forward decorrelation algorithm (SFD) is proposed to improve the convergence rate. (ii) Secondly, we propose an extended version of the first proposed SFD algorithm based on normalized step-sizes (SNFD). To validate the good performances of two proposed SFD and SNFD algorithms, intensive experiments are done. The obtained results show good performances of these algorithms in comparison with the basic full-band version.