Inhibition of acoustic noise using an adaptive LMS filter

In an audio speech signal, acoustic noise is a common problem while the speech is processed. Here, we are going to create color noise and add with an audio signal, after that a model are introduced to eliminate that noise. This paper elaborates a new approach for noise cancellation in speech enhancement using an Adaptive LMS (Least Mean Square) filter and with the help of MATLAB Simulink we get the correct speech signal. This filter is used to remove the acoustic noise due to its simplicity in computation & robust behavior when implemented in finite-precision hardware. It provides better communication by suppressing the acoustic noise to a larger extent, since it provides a better balance between complexity & convergence speed. In spite of various methods, the results obtained in this way of noise cancellation are optimistic.