A New Two-Microphone Reduce Size SMFTF Algorithm for Speech Enhancement in New Telecommunication Systems

Abstract

This paper considers the problem of speech enhancement and noise reduction in speech recognition systems and 5G mobile communication systems. The presence of these systems in a noisy environment reduces their effectiveness and makes degradation in their performance. here, we propose a new contribution to resolve noise reduction and speech enhancement problem in these systems by proposing a new algorithm. The proposed two microphones reduce size simplified fast transversal filter (TM-RSMFTF) algorithm is an outcome of the good combination between the well-known forward blind source separation structure and the adaptive algorithm reduce size simplified fast transversal filter properties which is a stable version of fast transversal filter (FTF) algorithms. The proposed algorithm has low computational complexity. The simulation results show a good performances and effectiveness of this new TM-RSMFTF algorithm in comparison with conventional TM-NLMS algorithm and almost similar performances with full-size TM-SFTF in terms of various objectives criteria such as Segmental SNR, System Mismatch, Segmental MSE.