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:
Jun. 04, 2019

Filed:

Mar. 21, 2017
Applicant:

Google Technology Holdings Llc, Mountainview, CA (US);

Inventors:

Robert A. Zurek, Antioch, IL (US);

Adrian M. Schuster, West Olive, MI (US);

Fu-Lin Shau, Lake Zurich, IL (US);

Jincheng Wu, Naperville, IL (US);

Assignee:

Google Technology Holdings LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2006.01); G06F 3/01 (2006.01); G06K 9/00 (2006.01); G10L 15/20 (2006.01); G10L 15/25 (2013.01); G10L 21/0208 (2013.01); G10L 15/26 (2006.01); B60N 2/00 (2006.01); G10L 15/24 (2013.01); G10L 25/78 (2013.01); G10L 21/0216 (2013.01);
U.S. Cl.
CPC ...
G10L 15/22 (2013.01); G06F 3/013 (2013.01); G06K 9/00255 (2013.01); G06K 9/00335 (2013.01); G06K 9/00604 (2013.01); G06K 9/00832 (2013.01); G10L 15/20 (2013.01); G10L 15/25 (2013.01); G10L 15/26 (2013.01); G10L 21/0208 (2013.01); B60N 2/002 (2013.01); G06K 9/00597 (2013.01); G10L 15/24 (2013.01); G10L 25/78 (2013.01); G10L 2015/223 (2013.01); G10L 2015/227 (2013.01); G10L 2021/02166 (2013.01); H04R 2430/20 (2013.01); H04R 2460/07 (2013.01); H04R 2499/11 (2013.01);
Abstract

A device performs a method for using image data to aid voice recognition. The method includes the device capturing () image data of a vicinity of the device and adjusting (), based on the image data, a set of parameters for voice recognition performed by the device (). The set of parameters for the device performing voice recognition include, but are not limited to: a trigger threshold of a trigger for voice recognition; a set of beamforming parameters; a database for voice recognition; and/or an algorithm for voice recognition. The algorithm may include using noise suppression or using acoustic beamforming.


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