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. 26, 2025

Filed:

Apr. 21, 2022
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Martin Baeuml, Zurich, CH;

Thushan Amarasiriwardena, Alameda, CA (US);

Roberto Pieraccini, Zurich, CH;

Gianluca Martini, Zurich, CH;

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/3329 (2025.01); G06F 40/169 (2020.01); G06F 40/56 (2020.01); G06T 7/20 (2017.01); G06V 20/40 (2022.01); G06V 40/20 (2022.01); G10L 13/02 (2013.01); G10L 13/033 (2013.01); G10L 13/08 (2013.01); G10L 13/10 (2013.01); G10L 15/06 (2013.01); G10L 15/18 (2013.01); G10L 15/183 (2013.01); G10L 15/22 (2006.01); G10L 25/57 (2013.01); H04N 5/04 (2006.01);
U.S. Cl.
CPC ...
G10L 13/10 (2013.01); G06F 40/169 (2020.01); G06T 7/20 (2013.01); G06V 20/40 (2022.01); G06V 40/20 (2022.01); G10L 13/02 (2013.01); G10L 13/08 (2013.01); G10L 15/063 (2013.01); G10L 15/1815 (2013.01); G10L 15/183 (2013.01); G10L 15/22 (2013.01); G10L 25/57 (2013.01); H04N 5/04 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/30196 (2013.01); G10L 2015/223 (2013.01);
Abstract

Implementations relate to dynamically adapting a given assistant output based on a given persona, from among a plurality of disparate personas, assigned to an automated assistant. In some implementations, the given assistant output can be generated and subsequently adapted based on the given persona assigned to the automated assistant. In other implementations, the given assistant output can be generated specific to the given persona and without having to subsequently adapt the given assistant output to the given persona. Notably, the given assistant output can include a stream of textual content to be synthesized for audible presentation to the user, and a stream of visual cues utilized in controlling a display of a client device and/or in controlling a visualized representation of the automated assistant. Various implementations utilize large language models (LLMs), or output previously generated utilizing LLMs, to reflect the given persona in the given assistant output.


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