Performance Comparison of Single Channel Speech Enhancement Techniques for Personal Communication

Speech has been embedded into many applications like speech recognition, development of hearing aid, VoIP, mobile and other forms of personal communication. Speech enhancement techniques have been widely used for minimizing undesirable background noises. This paper deals with single channel speech enhancement techniques based on Spectral Subtraction (SS), Wavelet Transform (WT) and Adaptive Wiener Filtering (AWF). Here quantitative performance of these speech enhancement techniques is compared and the parameters used for comparison are Mean Square Error, Normalised Mean Square Error, Signal to Noise Ratio, Peak Signal to Noise Ratio and Average Absolute Distortion. The results obtained have proved the speech enhancing capability of the personal communication technique where noise and echo-interference can degrade the original speech signal. From the results we conclude that the performance of single channel speech enhancement based WT is better than AWF and SS techniques. MATLAB GUI developed for speech enhancement techniques which help to be able to visualize the results obtained throughout this paper.