Enhancement of the speech quality by the implementation of Second Order Fast Adaptive Kalman Filter algorithm

Abstract

Speech signal enhancement is one of the important and primary processes used in speech processing, speech recognitions and speaker recognitions. This paper proposed the fast processed method for speech signal enhancement, which is the second order implementation of the fast adaptive Kalman filtering. This proposed method improves the processing time of conventional second order adaptive Kalman filter as well as output SNR as compared to the fast adaptive Kalman filter. The Kalman filter's conventional algorithm uses defferent matrix operations to perform speech enhancement. These matrix operations increases the processing time and reduces the adaptability property of Kalman filter as well. Second order Adaptive Kalman Filter improves output SNR of conventional Kalman Filter, but this method almost doubles the matrix operation and further increases the performance time. This paper proposes the Fast Adaptive Second Order Kalman Filter, which reduced processing time of conventional second order Kalman Filter with effective output SNR. We can also say that this proposed algorithm improves the output SNR of First Ordered Fast Adaptive Kalman Filter.