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Apparatus and method for model adaptation for spoken language understanding

  • US 9,640,176 B2
  • Filed: 05/20/2014
  • Issued: 05/02/2017
  • Est. Priority Date: 03/21/2005
  • Status: Active Grant
First Claim
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1. A method comprising:

  • receiving a first language model for a first domain having a first training set, wherein the first language model is used in a spoken dialog application;

    identifying a second language model for a second domain, wherein the second language model is smaller than the first language model;

    selectively sampling training data from the second language model, to yield selectively sampled training data;

    concatenating, via a processor, the first language model by replacing a portion of the first training set in the first language model with the selectively sampled training data, to yield a concatenated first language model;

    replacing the first language model with the concatenated first language model for use in the spoken dialog application; and

    receiving audible speech from a user via the spoken dialog application; and

    converting, via the spoken dialog application, the audible speech into text via the concatenated first language model.

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