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Context-sensitive dynamic update of voice to text model in a voice-enabled electronic device

  • US 10,482,883 B2
  • Filed: 05/02/2018
  • Issued: 11/19/2019
  • Est. Priority Date: 05/27/2015
  • Status: Active Grant
First Claim
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1. A method, comprising:

  • receiving a voice input with a voice-enabled electronic device, the voice input including an original request that includes first and second portions, the second portion including a first context sensitive entity among a plurality of context sensitive entities that are associated with a context sensitive parameter and that potentially may be spoken in the voice input; and

    in the voice-enabled electronic device, and responsive to receiving the first portion of the voice input;

    performing local processing of the first portion of the voice input;

    determining during the local processing that the first portion is associated with the context sensitive parameter; and

    in response to determining that the first portion is associated with the context sensitive parameter, and prior to performing local processing of the second portion of the voice input including the first context sensitive entity;

    dynamically updating a local voice to text model, used by the voice-enabled electronic device, to augment the local voice to text model based on the context sensitive entities associated with the context sensitive parameter, wherein dynamically updating the local voice to text model facilitates recognition of the first context sensitive entity in performing local processing of the second portion of the voice input.

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