Patent ID: 7177808

Claim:
A method for improving speaker identification (SID) 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; wherein said step of preprocessing further comprises the step of determining the distance of each of said input degraded speech segments from a particular speaker model and; wherein said step of determining the distance of each of said input degraded speech segments from a particular speaker model further comprises computing a classification matrix ϕ m ⁡ ( i ) = { 1 , min ⁡ ( D i ) = d ⁡ ( m , i ) 0 , min ⁡ ( D i ) ≠ d ⁡ ( m , i ) where m is the speaker index, i is the frame index, D i is the vector consisting of distance between frame i and the trained speaker models and d is the classification matrix; wherein said input degraded speech segments are labeled “1” corresponding to SID-usable if it yields the smallest distance measure from the correct speaker model; and wherein said input degraded speech segments are labeled “0” otherwise, corresponding to SID-unusable.