System and method for noisy automatic speech recognition employing joint compensation of additive and convolutive distortions

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.

A digital signal processor (DSP), comprising:

• data processing and storage circuitry controlled by a sequence of executable instructions configured to:
• estimate an additive distortion factor;
• use estimates of a convolutive distortion factor and said additive distortion factor to compensate acoustic models and recognize a current utterance;
• align said current utterance using recognition output;
• and
• estimate an updated convolutive distortion factor based on said current utterance using differential terms but disregarding log-spectral domain variance terms.