In this paper, we postulate the analysis of different adaptive filter algorithms, that is Least mean square (LMS), Normalized least mean square (NLMS) and Recursive least square (RLS) for speech enhancement using Simulink tool. This speech enhancement approach is done only through noise suppression because intelligibility and pleasantness cannot be measured by mathematical calculations. By improving the signal-to-noise ratio during the speech signal processing using different Adaptive Filter algorithms technique approach for speech enhancement approach can be done. To analyze the adaptive filter algorithms, each algorithm is computationally implemented and signal to noise ratio of algorithms are examined. Criteria of these adaptive filter algorithms are analyzed by varying the step size for minimum mean square error optimization using Simulink tool.