1. A method of tuning reusable dialog components within a speech application comprising: detecting speech recognition events generated from a plurality of speech recognitions, the plurality of speech recognitions performed by a speech recognition engine for a reusable dialog component that does not include any speech recognition engine, the reusable dialog component including a field and a confidence threshold that is associated with the field and specifies a minimally acceptable confidence score for any recognition result provided for the field, the field corresponding to a piece of information for which the speech application is configured to prompt a user, the speech recognition events being generated over a plurality of interactive voice response sessions; re-prompting the user for the piece of information if a confidence score associated with a recognition result is below the confidence threshold, the recognition result being generated from a speech recognition performed by the speech recognition engine on a user utterance uttered in response to the speech application prompting the user for the piece of information, the confidence score being generated by the speech recognition engine, being associated with a speech recognition event generated from the speech recognition performed on the user utterance and indicating a confidence in an accuracy of the recognition result; and automatically computing a suggested value for the confidence threshold by applying a statistical processing technique to confidence scores associated with a plurality of the speech recognition events, wherein a majority of the confidence scores for the plurality of the speech recognition events fall within a range having a low value and a high value, and wherein automatically computing the suggested value comprises computing a suggested value that is substantially equal to the low value for the range.
1. A method of tuning reusable dialog components within a speech application comprising: detecting speech recognition events generated from a plurality of speech recognitions, the plurality of speech recognitions performed by a speech recognition engine for a reusable dialog component that does not include any speech recognition engine, the reusable dialog component including a field and a confidence threshold that is associated with the field and specifies a minimally acceptable confidence score for any recognition result provided for the field, the field corresponding to a piece of information for which the speech application is configured to prompt a user, the speech recognition events being generated over a plurality of interactive voice response sessions; re-prompting the user for the piece of information if a confidence score associated with a recognition result is below the confidence threshold, the recognition result being generated from a speech recognition performed by the speech recognition engine on a user utterance uttered in response to the speech application prompting the user for the piece of information, the confidence score being generated by the speech recognition engine, being associated with a speech recognition event generated from the speech recognition performed on the user utterance and indicating a confidence in an accuracy of the recognition result; and automatically computing a suggested value for the confidence threshold by applying a statistical processing technique to confidence scores associated with a plurality of the speech recognition events, wherein a majority of the confidence scores for the plurality of the speech recognition events fall within a range having a low value and a high value, and wherein automatically computing the suggested value comprises computing a suggested value that is substantially equal to the low value for the range. 8. The method of claim 1 , wherein each of the plurality of speech recognitions is performed by at least one speech recognition engine, and wherein the reusable dialog component is a separate component from the at least one speech recognition engine.