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METHOD AND DEVICE FOR VOICEPRINT RECOGNITION

  • US 20160358610A1
  • Filed: 08/18/2016
  • Published: 12/08/2016
  • Est. Priority Date: 01/28/2013
  • Status: Active Grant
First Claim
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1. A method, comprising:

  • at a device having one or more processors and memory;

    establishing a first-level Deep Neural Network (DNN) model based on unlabeled speech data, the unlabeled speech data containing no speaker labels and the first-level DNN model specifying a plurality of basic voiceprint features for the unlabeled speech data;

    establishing a second-level DNN model by tuning the first-level DNN model based on labeled speech data, the labeled speech data containing speech samples with respective speaker labels, wherein the second-level DNN model specifies a plurality of high-level voiceprint features;

    using the second-level DNN model, registering a first high-level voiceprint feature sequence for a user based on a registration speech sample received from the user; and

    performing speaker verification for the user based on the first high-level voiceprint feature sequence registered for the user.

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