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:
Oct. 31, 2023

Filed:

Dec. 04, 2020
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Asaf Aharoni, Tel Aviv-Jaffa, IL;

Yaniv Leviathan, New York, NY (US);

Eyal Segalis, Tel Aviv-Jaffa, IL;

Gal Elidan, Modiin, IL;

Sasha Goldshtein, Tel Aviv-Jaffa, IL;

Tomer Amiaz, Tel Aviv-Jaffa, IL;

Deborah Cohen, Tel Aviv-Jaffa, IL;

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G10L 15/22 (2006.01); H04M 3/493 (2006.01); G10L 15/06 (2013.01); H04L 67/133 (2022.01); G10L 15/02 (2006.01); G10L 15/04 (2013.01);
U.S. Cl.
CPC ...
G10L 15/063 (2013.01); G06N 20/00 (2019.01); G10L 15/02 (2013.01); G10L 15/04 (2013.01); G10L 15/22 (2013.01); H04L 67/133 (2022.05); H04M 3/493 (2013.01); G10L 2015/0635 (2013.01);
Abstract

Implementations are directed to providing a voice bot development platform that enables a third-party developer to train a voice bot based on training instance(s). The training instance(s) can each include training input and training output. The training input can include a portion of a corresponding conversation and a prior context of the corresponding conversation. The training output can include a corresponding ground truth response to the portion of the corresponding conversation. Subsequent to training, the voice bot can be deployed for conducting conversations on behalf of a third-party. In some implementations, the voice bot is further trained based on a corresponding feature emphasis input that attentions the voice bot to a particular feature of the portion of the corresponding conversation. In some additional or alternative implementations, the voice bot is further trained to interact with third-party system(s) via remote procedure calls (RPCs).


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