TY - JOUR N2 - Speech enhancement objective is to improve the noisy speech signals for human perception. The intention of speech enhancement algorithm is to improve the performance of the communication, when the signal is occluded by noise. The quality and intelligibility of speech is reduced because of the presence of background noise. There are various adaptive filtering algorithms for speech enhancement. The existing least mean square and normalised least mean square algorithms have the problem of choosing the step size that guarantees the stability of the algorithm. To overcome this problem, we focus on speech enhancement by amended adaptive filtering. The proposed algorithm follows blind source separation strategy using adaptive filtering. Comparison of existing adaptive filtering algorithms with proposed algorithm justifies the amendment incorporated in this paper. Taking the objective criteria into account the algorithms has been tested for segmental signal to noise ratio (SegSNR), segmental mean square error (SegMSE), signal to noise ratio and mean square error. The proposed algorithm can be used for hand-free cell phone, hearing aids and teleconferencing systems. L1 - http://journals.pan.pl/Content/113311/PDF/69.pdf L2 - http://journals.pan.pl/Content/113311 PY - 2019 IS - No 3 EP - 517 DO - 10.24425/ijet.2019.129807 KW - least mean squares KW - Normalised least mean square KW - Amended normalised least mean square KW - blind source separation A1 - Shanmuga Priya, P. A1 - Selva Nidhyananthan, S. A1 - Shantha Selva Kumari, R. PB - Polish Academy of Sciences Committee of Electronics and Telecommunications VL - vol. 65 DA - 2019.09.06 T1 - Amended Adaptive Algorithm for Corpus Based Improved Speech Enhancement SP - 513 UR - http://journals.pan.pl/dlibra/publication/edition/113311 T2 - International Journal of Electronics and Telecommunications ER -