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:
Jan. 14, 2020

Filed:

Jun. 29, 2016
Applicant:

Google Llc, Mountain View, CA (US);

Inventor:

Raziel Alvarez Guevara, Menlo Park, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/00 (2013.01); G10L 17/04 (2013.01); G10L 17/08 (2013.01); G10L 17/18 (2013.01); G10L 17/24 (2013.01); G10L 15/02 (2006.01); G10L 15/18 (2013.01); G10L 17/06 (2013.01); G10L 15/08 (2006.01);
U.S. Cl.
CPC ...
G10L 17/04 (2013.01); G10L 15/02 (2013.01); G10L 15/1815 (2013.01); G10L 17/06 (2013.01); G10L 17/08 (2013.01); G10L 17/18 (2013.01); G10L 17/24 (2013.01); G10L 2015/088 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for presenting notifications in an enterprise system. In one aspect, a method include actions of obtaining enrollment acoustic data representing an enrollment utterance spoken by a user, obtaining a set of candidate acoustic data representing utterances spoken by other users, determining, for each candidate acoustic data of the set of candidate acoustic data, a similarity score that represents a similarity between the enrollment acoustic data and the candidate acoustic data, selecting a subset of candidate acoustic data from the set of candidate acoustic data based at least on the similarity scores, generating a detection model based on the subset of candidate acoustic data, and providing the detection model for use in detecting an utterance spoken by the user.


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