1. A method for improving speaker identification in noisy environments, comprising the steps of: preprocessing speech by inputting degraded speech segments into a speaker identification process so as to produce SID-usable and SID-unusable speech segments; extracting SID-usable and SID-unusable features from said SID-usable and SID-unusable speech segments, respectively; and analyzing said SID-usable and SID-unusable features so as to determine optimum classifiers for the detection of said SID-usable and said SID-unusable speech segments.