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Method for recognizing non-standard and standard speech by speaker independent and speaker dependent word models

  • US 6,487,530 B1
  • Filed: 03/30/1999
  • Issued: 11/26/2002
  • Est. Priority Date: 03/30/1999
  • Status: Expired due to Fees
First Claim
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1. In a speech recognition system comprising:

  • an incoming audio signal representing utterances of a user;

    a stored set of first word models derived from utterances of a plurality of speakers; and

    means for identifying a word in the utterances of a user upon matching portions of said audio signal with one of said stored first word models, a method of enhancing recognition of speech of said user comprising;

    ascertaining a current context of the utterances of the user;

    providing for said user a stored set of second word models, said set of second word models derived from words spoken by said user, said first word models and said second word models differing from each other;

    attempting to identify words in the utterances of said user to find a match in the current context by comparing portions of said audio signal with one of a word model among said first word models and a word model among said second word models associated with said user, the attempting including determining a probability of whether the match exceeds a threshold; and

    if the probability of the match fails to exceed the threshold, informing that the words fail to match any of the words acceptable in the current context and thereafter modifying, based on the words in the utterances of said user, the word model among the second word models associated with the user and without modifying the stored set of first word models.

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