10. The system of claim 9 , wherein the processor, in applying the unscented transformation framework to the speech feature vectors to determine static noise parameters, static channel parameters, and dynamic noise parameters, is operative to: determine at least one static transformed mean utilizing the non-linear function corresponding to the speech in the utterance; and determine at least one static transformed variance utilizing the non-linear function corresponding to the speech in the utterance.
10. The system of claim 9 , wherein the processor, in applying the unscented transformation framework to the speech feature vectors to determine static noise parameters, static channel parameters, and dynamic noise parameters, is operative to: determine at least one static transformed mean utilizing the non-linear function corresponding to the speech in the utterance; and determine at least one static transformed variance utilizing the non-linear function corresponding to the speech in the utterance. 11. The system of claim 10 , wherein the processor, in applying the unscented transformation framework to the speech feature vectors to determine static noise parameters, static channel parameters, and dynamic noise parameters, is further operative to: determine at least one dynamic mean utilizing the non-linear function corresponding to the speech in the utterance; and determine at least one dynamic variance of the noise parameter utilizing the non-linear function corresponding to the speech in the utterance.