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Dynamic N-best algorithm to reduce recognition errors

  • US 20050187768A1
  • Filed: 05/18/2004
  • Published: 08/25/2005
  • Est. Priority Date: 02/24/2004
  • Status: Active Grant
First Claim
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1. A method for reducing recognition errors, the method comprising:

  • receiving an N-best list associated with an input of a computer based recognition system, the N-best list including one or more hypotheses and associated confidence values;

    classifying the input in response to the N-best list to result in a classification;

    selecting a re-scoring algorithm that is tuned for the classification;

    applying the re-scoring algorithm to the N-best list to create a re-scored N-best list; and

    selecting a hypothesis for the value of the input based on the re-scored N-best list.

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