Multi Band Spectral Subtraction Combined with Adaptive Noise Estimation

Abstract

Speech enhancement is a prerequisite for many speech communication applications like speech coders, hearing aids, voice recognition systems, Man –Machine communication, Video conferencing etc . For all these practical systems input is a noisy speech , so it requires a pre-processing operation for further processing. This paper gives a method to improve the speech quality in presence of background noise, based on Multi Band Spectral Subtraction combined with adaptive noise estimation. Further the performance analysis of this method is done using objective quality measures like Segmental SNR(segSNR),Weighted SlopeSpectral Distance (WSSD),Log Likelihood Ratio(LLR),Perceptual Evaluation of Speech Quality (PESQ) and Composite Measures under highly non-stationary noise. Finally the results were compared against Spectral Subtraction(SS), Multi Band Spectral Subtraction(MBSS) methods and the results shows that the proposed method shows consistence performance against all the cases considered.