34. A method for transcribing a segment of data that includes speech in one or more environments and non-speech data, comprising: inputting the data to a segmenter and producing a series of segments, each segment being given a type identifier tag selected from a predetermined set of classes, wherein the classes include non-speech, telephone speech, noise-corrupted speech, and clean speech; and transcribing each type identifier tagged segment using a specific speech recognition system created for that type, wherein setting up a system for transcribing noise-corrupted speech comprises transforming the training data from which the speech recognition system was made so that it matches the acoustic environment of noise-corrupted speech, wherein the transformation comprises adding pure noise to the clean speech in the training data.
34. A method for transcribing a segment of data that includes speech in one or more environments and non-speech data, comprising: inputting the data to a segmenter and producing a series of segments, each segment being given a type identifier tag selected from a predetermined set of classes, wherein the classes include non-speech, telephone speech, noise-corrupted speech, and clean speech; and transcribing each type identifier tagged segment using a specific speech recognition system created for that type, wherein setting up a system for transcribing noise-corrupted speech comprises transforming the training data from which the speech recognition system was made so that it matches the acoustic environment of noise-corrupted speech, wherein the transformation comprises adding pure noise to the clean speech in the training data. 35. The method of claim 34, wherein the noise includes music.