Survey on noise cancellation techniques of speech signal by adaptive filtering

With the help of different digital signal processing techniques speech signals can be used for many applications like speaker recognition, biomedical engineering, communication area and industrial applications. Degradation of speech signals occurs due to unavoidable noise sources and hence causes problems in respective applications. An efficient technique for noise removal is adaptive filtering; as it does not require signal statistics. This paper gives details about various available adaptive techniques that are useful for improving signal to noise ratio of speech signals. These techniques are studied based on the factors complexity, convergence and computation time, stability and SNR.