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Dialog repair based on discrepancies between user model predictions and speech recognition results

  • US 8,244,545 B2
  • Filed: 03/30/2006
  • Issued: 08/14/2012
  • Est. Priority Date: 03/30/2006
  • Status: Active Grant
First Claim
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1. A system for repairing dialog data, comprising:

  • a discrepancy detection component that;

    identifies discrepancy data between predictive dialog data output from a user model prediction component and recognized dialog data output from a speech recognition component, the predictive dialog data being a prediction of an action a user will pursue based on patterns of non-verbal actions by the user, and the recognized dialog data being based on a spoken command by the user;

    compares the predictive dialog data and the recognized dialog data to generate difference data;

    processes the difference data to determine a degree of difference between the predictive dialog data and the recognized dialog data; and

    changes at least one of the predicted dialog data, the recognized dialog data, and a potential action based in part on optimization of a specific system action, the optimization being based on a utility function that comprises a chance variable, a decision variable, and a value variable; and

    a dialog repair component that repairs the dialog data based in part on the discrepancy data.

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