文章基本信息

标题：PERFORMANCE ANALYSIS OF ADAPTIVE ALGORITHMS FOR NOISE CANCELLATION IN SPEECH PROCESSING
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作者：M.A.RAJA ; Dr.A.SHANMUGAM
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：48
期号：2
页码：704-707
出版社：Journal of Theoretical and Applied
摘要：This paper is proposed to remove the noise from the speech signal in real time environment. The quality of audio signal can be improved by filtering the degraded speech signal through adaptive filters. For Noise cancellation widrow & hoff�s Least Mean Square (LMS) algorithms are being used for simplicity in implementation. But LMS algorithm has limitation in selection of a certain values such as step size which implies dilemma in fast convergence rate and Excess mean square error (EMSE) and results in computational complexity. This paper analyse the performance of Variable Step Size Normalised LMS , Normalised Differential LMS with proposed VSSNDLMS with different input signals. Finally, through simulation results the proposed VSSNDLMS algorithm converges fastly with minimum mean square error and it is useful in predicting the adaptive filter performance of various algorithms and the implementation indicate the improvement in quality of the speech signal.
关键词：Adaptive Noise canceller (ANC); Excess mean square error (EMSE); VSSNDLMS.