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Identification of people using multiple types of input

  • US 8,024,189 B2
  • Filed: 06/22/2006
  • Issued: 09/20/2011
  • Est. Priority Date: 06/22/2006
  • Status: Active Grant
First Claim
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1. A method comprising:

  • identifying a pool of features comprising at least one feature from a first type of input and at least one feature from a second type of input where the second type of input is different from the first type of input; and

    generating a classifier for speaker detection using a learning algorithm wherein nodes of the classifier are selected using the pool of features and a preferable feature is weighted higher than a less preferable feature such that the preferable feature is located in the classifier before the less preferable feature.

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