11. A method for uncertainty interval application in a system, the method comprising: generating based on speech recognition a first lattice for a first component used by the system, the first lattice representing one or more hypotheses for the first component of the user's communication; generating based on the first lattice, by a processing unit, an uncertainty value for a portion of a first hypothesis of the one or more hypotheses; storing the uncertainty value generated for the portion of the first hypothesis wherein the stored uncertainty value is a current accumulated uncertainty value; generating based on speech recognition at least one additional lattice for each of one or more additional components used by the system, wherein the one or more additional components are distinct from the first component, each of the at least one additional lattices representing at least one hypothesis for one of the one or more additional components used by the system; generating based on the at least one additional lattice an uncertainty value for a portion of each hypothesis generated for the one or more additional components used by the system; multiplying the uncertainty value for one or more portions of the hypotheses generated for the one or more additional components used by the system by the current accumulated uncertainty value wherein after each multiplication of an uncertainty value by the current accumulated uncertainty value the result of the multiplication is stored as the current accumulated uncertainty value; and comparing the current accumulated uncertainty value to a confidence threshold.
11. A method for uncertainty interval application in a system, the method comprising: generating based on speech recognition a first lattice for a first component used by the system, the first lattice representing one or more hypotheses for the first component of the user's communication; generating based on the first lattice, by a processing unit, an uncertainty value for a portion of a first hypothesis of the one or more hypotheses; storing the uncertainty value generated for the portion of the first hypothesis wherein the stored uncertainty value is a current accumulated uncertainty value; generating based on speech recognition at least one additional lattice for each of one or more additional components used by the system, wherein the one or more additional components are distinct from the first component, each of the at least one additional lattices representing at least one hypothesis for one of the one or more additional components used by the system; generating based on the at least one additional lattice an uncertainty value for a portion of each hypothesis generated for the one or more additional components used by the system; multiplying the uncertainty value for one or more portions of the hypotheses generated for the one or more additional components used by the system by the current accumulated uncertainty value wherein after each multiplication of an uncertainty value by the current accumulated uncertainty value the result of the multiplication is stored as the current accumulated uncertainty value; and comparing the current accumulated uncertainty value to a confidence threshold. 13. The method for uncertainty interval application in a system of claim 11 , wherein the first component used by the system is a component of a monitored communication and wherein each of the one or more additional components used by the system are each a component of the monitored communication.