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Hierarchical labeler in a speech recognition system

  • US 6,023,673 A
  • Filed: 06/04/1997
  • Issued: 02/08/2000
  • Est. Priority Date: 06/04/1997
  • Status: Expired due to Fees
First Claim
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1. A method for assigning a label to a segment of speech to be recognized, comprising the steps of:

  • providing a hierarchical fast ranking tree comprising a plurality of levels of subsets of prototypes, each prototype in a higher level subset being associated with one or more prototypes in a lower level subset;

    inputting a feature vector signal representing the segment of speech to be recognized;

    comparing the features of the vector signal with the features of the prototypes in a first level to find a first ranked list of the closest prototypes to the feature vector signal at that level;

    comparing the features of the feature vector signal to the prototypes in a second level subset associated with the highest ranking prototypes in the first ranked list of prototypes, to find a second ranked list of the closest prototypes to the feature vector signal in the second level;

    assigning the label associated with the highest ranking prototype in the lowest level subset to the feature vector signal; and

    predictive labeling wherein the highest ranking prototype in the lowest level subset is assigned to a second feature vector signal which represents another segment of speech to be recognized if a distance between the second feature vector signal and the first feature vector signal is at least less than a predetermined threshold.

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