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:
Dec. 10, 2024

Filed:

Apr. 14, 2022
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Leonid Aleksandrovich Velikovich, New York, NY (US);

Petar Stanisa Aleksic, Jersey City, NJ (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 15/197 (2013.01); G06F 40/166 (2020.01); G06F 40/284 (2020.01); G06F 40/295 (2020.01); G10L 15/06 (2013.01); G10L 15/22 (2006.01); G10L 15/32 (2013.01);
U.S. Cl.
CPC ...
G10L 15/197 (2013.01); G06F 40/166 (2020.01); G06F 40/284 (2020.01); G06F 40/295 (2020.01); G10L 15/063 (2013.01); G10L 15/22 (2013.01); G10L 15/32 (2013.01); G10L 2015/228 (2013.01);
Abstract

A method includes receiving audio data corresponding to an utterance spoken by a user and processing, using a first recognition model, the audio data to generate a non-contextual candidate hypothesis as output from the first recognition model. The non-contextual candidate hypothesis has a corresponding likelihood score assigned by the first recognition model. The method also includes generating, using a second recognition model configured to receive personal context information, a contextual candidate hypothesis that includes a personal named entity. The method also includes scoring, based on the personal context information and the corresponding likelihood score assigned to the non-contextual candidate hypothesis, the contextual candidate hypothesis relative to the non-contextual candidate hypotheses. Based on the scoring of the contextual candidate hypothesis relative to the non-contextual candidate hypothesis, the method also includes generating a transcription of the utterance by selecting one of the contextual candidate hypothesis or the non-contextual candidate hypothesis.


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