Abstract: A speech recognition computer system and method indicates the level of confidence that a speech recognizer has in it recognition of one or more displayed words. The system and method allow for the rapid identification of speech recognition errors. A plurality of confidence levels of individual recognized words may be visually indicated. Additionally, the system and method allow the user of the system to select threshold levels to determine when the visual indication occurs.

Abstract: After a categorization process has been run, the scores of the top-two ranking categories along with the size or number of features in the object being categorized, are passed to a confidence assignment process. This determines a value for the confidence in the top category based on the evidence afforded by the input parameters. The magnitude of this confidence value will determine whether the system can accept the automatic categorization results, or whether human involvement is required. This invention also describes the process of determining the optimal value of an internal scaling parameter in the confidence assignment process. The construction of a threshold table based on this parameter is also described. The threshold table matches confidence values against error levels. For a given error rate the previously assigned confidence determines whether the categorization results can be accepted without need for human intervention.