System Identification in Speech Signal Using Modified Kalman Based Normalized Least Mean Square (NLMS) Algorithm

Abstract

Abstract-In this paper a modified Kalman based normalized least mean square algorithm is proposed for system identification. The performance of the proposed algorithm is compared with normalized least mean square (NLMS) and original Kalman based normalized least mean square (KLMS) algorithm using standard IEEE sentence (SP23) of NOIZEUS database with different types of real world noises at different SNR. The proposed algorithm shows better output SNR and speed of convergence compared with NLMS and KLMS algorithm