2. The method of claim 1 , further comprising: applying the unscented transformation framework to the speech feature vectors to estimate static noise parameters, static channel parameters, and dynamic noise parameters; and updating the static distorted speech parameters and the dynamic distorted speech parameters for the distorted speech in the utterance from static clean speech parameters, dynamic clean speech parameters, the static noise parameters, the static channel parameters, and the dynamic noise parameters.
2. The method of claim 1 , further comprising: applying the unscented transformation framework to the speech feature vectors to estimate static noise parameters, static channel parameters, and dynamic noise parameters; and updating the static distorted speech parameters and the dynamic distorted speech parameters for the distorted speech in the utterance from static clean speech parameters, dynamic clean speech parameters, the static noise parameters, the static channel parameters, and the dynamic noise parameters. 3. The method of claim 2 , wherein applying the unscented transformation framework to the speech feature vectors to determine static noise parameters, static channel parameters, and dynamic noise parameters comprises: determining at least one static transformed mean utilizing the non-linear function corresponding to the speech in the utterance; and determining at least one static transformed variance utilizing the non-linear function corresponding to the speech in the utterance.