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Method of setting optimum-partitioned classified neural network and method and apparatus for automatic labeling using optimum-partitioned classified neural network

  • US 7,444,282 B2
  • Filed: 03/01/2004
  • Issued: 10/28/2008
  • Est. Priority Date: 02/28/2003
  • Status: Active Grant
First Claim
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1. A method of automatic labeling to tune a phoneme boundary of a first label file generated by performing automatic labeling of a manual label file, the method comprising:

  • searching for neural networks having minimum errors with respect to a number of L phoneme combinations from a number of K neural network combinations generated at an initial stage or updated;

    updating weights during learning of the K neural networks by K phoneme combination groups searched with the same neural networks;

    composing an optimum-partitioned classified neural network combination using the K neural networks of which a total error sum has converged;

    tuning a phoneme boundary of a first label file using a phoneme combination group classification result and the optimum-partitioned classified neural network combination from the composing of the optimum-partitioned classified neural network combination; and

    generating a final label file reflecting the tuning result,wherein a phoneme boundary tuning field in the tuning of the phoneme boundary or the first label file and the generating a final label file reflecting the tuning result is set to a predetermined field of a duration time of left and right phonemes of the phoneme combination.

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