8. A method of noisy automatic speech recognition, for a digital signal processor, employing joint compensation of additive and convolutive distortions, comprising: estimating an additive distortion factor; using estimates of a convolutive distortion factor and said additive distortion factor to compensate acoustic models and recognize a current utterance; aligning said current utterance using recognition output; and estimating an updated convolutive distortion factor based on said current utterance using first-order differential terms but disregarding log-spectral domain variance terms.
8. A method of noisy automatic speech recognition, for a digital signal processor, employing joint compensation of additive and convolutive distortions, comprising: estimating an additive distortion factor; using estimates of a convolutive distortion factor and said additive distortion factor to compensate acoustic models and recognize a current utterance; aligning said current utterance using recognition output; and estimating an updated convolutive distortion factor based on said current utterance using first-order differential terms but disregarding log-spectral domain variance terms. 12. The method as recited in claim 8 wherein said estimating said additive distortion factor comprises estimating said additive distortion factor from non-speech segments of said current utterance.