Special Issue Article Open Access

Noise Cancellation of Speech Signal by Using Adaptive Filtering With Averaging Algorithm

Abstract

In any communication system noise always had been a major area of concern. Noise signals affect the transmitted signals during transmission. Every signal that we acquire at the receiver end of any communication system is somehow affected by noise. Noise is the unwanted part of the signal. Signals can be of various types in communication systems depending upon the requirement of the system. Signals carrying information during transmission of voice or speech or image or video. Each of these signals gets affected during transmission. So for de-noising of these signals of deferent types we need different noise cancellation mechanism. We have adopted a noise cancellation mechanism for signals carrying information in voice communication. In voice communication the recorded speech data signal transmitted will be useless until and unless proper noise cancellation mechanism is adopted at the receiver end. There are so many mechanisms for such noise cancellation. In this paper, we have adopted a new adaptive filtering with averaging algorithm for noise cancellation. This algorithm, we have proposed is based by using averages of both data and correction terms to find the updated values of the tap weights of the ANC controller of the speech signal.

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