7. A system for managing interactions with a person, comprising non-transitory computer storage media storing programming instructions executable by at least one processor for: receiving data representing an input from a person; using a processor, automatically presenting information relating to the input to an intent analyst through a graphical analyst user interface, the information presented in the graphical analyst user interface comprising at least one of: an output produced responsive to the received data, location information corresponding to the person, historical information corresponding to the person, characteristics of the person, and prior interactions related to the input; accepting an intent from the intent analyst through the analyst user interface; providing the information and the intent to a training subsystem; accepting from the training subsystem a training model used by a training automated speech recognizer (ASR), the training ASR generated responsive to the information and the intent; accepting from the training ASR statistics generated responsive to the information; and training, via the statistics, a second model used by a real-time ASR in order to improve performance thereof.
7. A system for managing interactions with a person, comprising non-transitory computer storage media storing programming instructions executable by at least one processor for: receiving data representing an input from a person; using a processor, automatically presenting information relating to the input to an intent analyst through a graphical analyst user interface, the information presented in the graphical analyst user interface comprising at least one of: an output produced responsive to the received data, location information corresponding to the person, historical information corresponding to the person, characteristics of the person, and prior interactions related to the input; accepting an intent from the intent analyst through the analyst user interface; providing the information and the intent to a training subsystem; accepting from the training subsystem a training model used by a training automated speech recognizer (ASR), the training ASR generated responsive to the information and the intent; accepting from the training ASR statistics generated responsive to the information; and training, via the statistics, a second model used by a real-time ASR in order to improve performance thereof. 8. The system of claim 7 , wherein the training comprises updating the second model.