7. A system for decoding of speech information comprising: means for segmenting an input utterance into speech and background regions without knowledge of the lexical content of the input utterance to create a segmented input string; means for introducing insertion errors into the background regions that are error prone to generate error laden background strings; means for statistically modeling the segmented input string and the error laden background strings using a discriminative training algorithm to generate a model with adapted parameters; means for decoding the input utterance using the model with the adapted parameters; and means for outputting a recognized string based on the decoded input utterance.
7. A system for decoding of speech information comprising: means for segmenting an input utterance into speech and background regions without knowledge of the lexical content of the input utterance to create a segmented input string; means for introducing insertion errors into the background regions that are error prone to generate error laden background strings; means for statistically modeling the segmented input string and the error laden background strings using a discriminative training algorithm to generate a model with adapted parameters; means for decoding the input utterance using the model with the adapted parameters; and means for outputting a recognized string based on the decoded input utterance. 8. The system as recited in claim 7, wherein the means for statistically modeling generates the model with adapted parameters using Hidden Markov Models.