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Methods and systems for identifying errors in a speech recognition system

  • US 9,928,829 B2
  • Filed: 10/17/2014
  • Issued: 03/27/2018
  • Est. Priority Date: 02/04/2005
  • Status: Active Grant
First Claim
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1. A method for identifying a possible error made by a speech recognition system comprising:

  • with an apparatus using at least one hardware-implemented processor, identifying when a hypothesis generated by the speech recognition system does not match an expected response word-for-word, but the hypothesis mostly matches the expected response word-for-word;

    with the apparatus using the at least one hardware-implemented processor, identifying an instance where the speech recognition system rejects a first hypothesis of a first utterance received from a user, followed by the speech recognition system accepting a second hypothesis of a second utterance received from the user, wherein the first and second hypotheses substantially match word-for-word;

    with the apparatus using the at least one hardware-implemented processor, incrementing a count of an occurrence of a possible error made by the speech recognition system; and

    with the apparatus using the at least one hardware-implemented processor, adjusting an adaptation of a model used by the speech recognition system for a word associated with the possible error when the count exceeds an acceptance threshold.

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