A Robust Speech Enhancement By Using Adaptive Kalman Filtering Algorithm

Speech enhancement aims to improve speech quality by using various algorithms. The objective of enhancement is improvement in intelligibility and/or overall perceptual quality of degraded speech signal using audio signal processing techniques. Enhancing of speech degraded by noise, or noise reduction, is the most important field of speech enhancement. In this paper a Robust speech enhancement method for noisy speech signals presented in speech signals, which is based on improved Kalman filtering. By using Kalman filtering arise some drawbacks to overcome to modified the conventional Kalman filter algorithm. conventional Kalman filter algorithm needs to calculate the parameters of AR(auto=regressive model),and perform a lot of matrix operations, which is generally called as nonadaptive .In this paper we eliminate the matrix operations and reduces the computational complexity and we design a coefficient factor for adaptive filtering, to automatically amend the estimation of environmental noise by the observation data. Experimental results shows that the Proposed technique effective for speech enhancement compare to conventional Kalman filter. KeywordsKalman Filter, Speech Enhancement.