Comparison of Different Speech Enhancement Techniques
M. Balasubrahmanyam · IOSR Journal of Engineering · 2013
The speech enhancement is one of the important techniques used to improve the quality of a speech signal i.e. degraded by noise.Speech Enhancement using Kalman Filter require calculating the parameters of AR (auto-regressive) model, and performing a lot of matrix operations, which is non-adaptive.Speech Enhancement using Weiner filter very hard to find out the inverse matrix operations in the time domain but desired output is required.Adaptive Kalman Filter is constantly update the estimation of background noise, which is adaptive.AKF used to eliminate the matrix operations, reduces the calculating time and reduces the complexity.Perceptual Weighting filter is used to improve the performance of speech enhancement system.However the perceptual characteristics of the speech signal depends upon the perceptual characteristics of human ear.Compare the simulation results and different parameters(SNR, MSE, MMSE & CPU time), and also observe which one the better technique for speech enhancement.