Comparison of spectral subtraction methods used in noise suppression algorithms

The spectral subtraction method is a well-known noise reduction technique. Most implementations and variations of the basic technique advocate subtraction of the noise spectrum estimate over the entire speech spectrum. However, real world noise is mostly colored and does not affect the speech signal uniformly over the entire spectrum. In this paper, the artifacts introduced by STSA methods will describe, and how the spectral subtraction method is modified to counter these artifacts. The EVRC noise suppression algorithm will discuss in some detail. Finally, some of the methods will compare based on the attenuation given an estimate of the SNR and the results will show with diagrams.