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Recognition unit model training based on competing word and word string models

  • US 5,579,436 A
  • Filed: 03/15/1993
  • Issued: 11/26/1996
  • Est. Priority Date: 03/02/1992
  • Status: Expired due to Term
First Claim
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1. A method of making a speech recognizer recognition unit model database based on one or more known speech signals and a set of current recognizer recognition unit models, the method comprising the steps of:

  • receiving a known speech signal;

    generating a first recognizer scoring signal based on the known speech signal and a current recognition unit model for that signal;

    generating one or more other recognizer scoring signals, each such scoring signal based on the known speech signal and another current recognition unit model;

    generating a misrecognition signal based on the first and other recognizer scoring signals;

    based on a value of a predetermined loss function when applied to the misrecognition signal and the known speech signal, modifying one or more of the current recognition unit models to decrease the likelihood of misrecognizing an unknown speech signal; and

    storing one or more modified recognition unit models in memory.

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