2. The method according to claim 1 , further comprising building the stored multiple recognition models by: recording utterances from a plurality of persons, wherein at least some of the recorded utterances are made with background noise audible to each person but not included in the recording of the utterances, and wherein the background noise is varied with different recordings to create a Lombard corpus; and classifying the recorded utterances in response to the Lombard characteristic to create a plurality of classifications.
5. The method of claim 2 wherein the Lombard characteristic includes a Lombard level of the background noise.