The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 13, 2019

Filed:

Nov. 26, 2018
Applicant:

Google, Llc, Mountain View, CA (US);

Inventors:

Pedro J. Moreno Mengibar, Jersey City, NJ (US);

Michael H. Cohen, Portola Valley, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G10L 25/00 (2013.01); G06F 16/338 (2019.01); G06F 16/33 (2019.01); G10L 15/00 (2013.01); G06F 16/21 (2019.01); G06F 16/29 (2019.01); G10L 15/14 (2006.01); G10L 15/197 (2013.01); G10L 15/24 (2013.01); G10L 15/26 (2006.01); G10L 15/06 (2013.01); G10L 15/22 (2006.01); G10L 15/08 (2006.01);
U.S. Cl.
CPC ...
G06F 16/338 (2019.01); G06F 16/211 (2019.01); G06F 16/29 (2019.01); G06F 16/3344 (2019.01); G06F 16/3346 (2019.01); G10L 15/005 (2013.01); G10L 15/14 (2013.01); G10L 15/197 (2013.01); G10L 15/24 (2013.01); G10L 15/26 (2013.01); G10L 15/265 (2013.01); G10L 2015/0633 (2013.01); G10L 2015/081 (2013.01); G10L 2015/228 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for speech recognition. One of the methods includes receiving a base language model for speech recognition including a first word sequence having a base probability value; receiving a voice search query associated with a query context; determining that a customized language model is to be used when the query context satisfies one or more criteria associated with the customized language model; obtaining the customized language model, the customized language model including the first word sequence having an adjusted probability value being the base probability value adjusted according to the query context; and converting the voice search query to a text search query based on one or more probabilities, each of the probabilities corresponding to a word sequence in a group of one or more word sequences, the group including the first word sequence having the adjusted probability value.


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