Analysis and Implementation of Time-Varying Least Mean Square Algorithm and Modified Time-Varying LMS for Speech Enhancement

Mrinal Bachute, Dr. R. D. Kharadkar

Abstract: This paper aims to investigate performance analysis and enhancements for the adaptive algorithms in speech enhancement and develop refined algorithms. The speech signal may get corrupted due to different types of noise. Hence, it becomes a challenge to maintain its high quality [2]. Noise Cancellation is a technique used for reducing undesired noise signal. Communication has become an integral part of our life. Main challenge in speech enhancement is performance analysis of algorithm in non-stationary environment Analysis of Time-Varying Least Mean Square Algorithm and Modified Time-Varying LMS algorithms and comparison on the basis of various performance indices like MSE, SNR. Objective of Implementing and analyzing the adaptive filter algorithms is to improve convergence behavior, reduce computational requirements and decrease steady state mean square error. The experimental results reveal that the modified TVLMS algorithm outperforms the existing TVLMS algorithm.

Keywords: LMS, TVLMS, SNR, MSE, Execution Time

How to Cite?: Mrinal Bachute, Dr. R. D. Kharadkar, "Analysis and Implementation of Time-Varying Least Mean Square Algorithm and Modified Time-Varying LMS for Speech Enhancement", Volume 4 Issue 4, April 2015, International Journal of Science and Research (IJSR), Pages: 764-768, https://www.ijsr.net/getabstract.php?paperid=SUB153032, DOI: https://dx.doi.org/10.21275/SUB153032