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

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... lts 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.