1. A computer-implemented method of estimating noise and channel distortions and updating distorted speech parameters for an utterance, within an unscented transformation framework, during automatic speech recognition, comprising: receiving, by the computer, the utterance, wherein the utterance comprises speech generated from a transmission source for delivery to a receiver; applying, by the computer, the unscented transformation framework to speech feature vectors representative of the speech, to determine static distorted speech parameters and dynamic distorted speech parameters with initial noise and channel distortions, the initial noise distortions comprising speech parameters which are initialized by averaging a predetermined number of frames at the beginning and ending of the utterance, wherein the unscented transformation framework utilizes non-linear mapping; and estimating, by the computer, noise and channel distortions in the utterance from the static distorted speech parameters and the dynamic distorted speech parameters.
1. A computer-implemented method of estimating noise and channel distortions and updating distorted speech parameters for an utterance, within an unscented transformation framework, during automatic speech recognition, comprising: receiving, by the computer, the utterance, wherein the utterance comprises speech generated from a transmission source for delivery to a receiver; applying, by the computer, the unscented transformation framework to speech feature vectors representative of the speech, to determine static distorted speech parameters and dynamic distorted speech parameters with initial noise and channel distortions, the initial noise distortions comprising speech parameters which are initialized by averaging a predetermined number of frames at the beginning and ending of the utterance, wherein the unscented transformation framework utilizes non-linear mapping; and estimating, by the computer, noise and channel distortions in the utterance from the static distorted speech parameters and the dynamic distorted speech 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.