Different Approaches of Spectral Subtraction Method for Speech Enhancement

Enhancement of speech signal degraded by several types of noise is a topic of interest for last many years. The main aim of speech enhancement algorithm is to improve the quality and/or intelligibility of the noisy speech signals by using various techniques and algorithms. Among the all available methods, the spectral subtraction algorithm is the historically one of the first algorithm proposed for removing additive background noise. This paper presented the review of basic spectral subtraction algorithm, a short coming of basic spectral subtraction algorithm, different modified approaches of Spectral Subtraction Algorithms such as Spectral Subtraction with over subtraction factor, Non linear Spectral Subtraction, Multiband Spectral Subtraction, Minimum mean square Error Spectral Subtraction and Selective Spectral Subtraction that minimizes the shortcomings of the basic method, then performance evaluation of various modified spectral subtraction algorithms.