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:
Jul. 01, 2025

Filed:

Dec. 05, 2022
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Lan Guan, New York, NY (US);

Neeraj D Vadhan, Los Altos, CA (US);

Sukryool Kang, Dublin, CA (US);

Anwitha Paruchuri, San Jose, CA (US);

Anupam Anurag Tripathi, Chicago, IL (US);

Sujeong Cha, Long Island City, NY (US);

Thomas Wayne Hancock, Oklahoma City, OK (US);

Jill Gengelbach-Wylie, Austin, TX (US);

Yuan He, San Jose, CA (US);

Andrew Francis Hickl, Sammamish, WA (US);

Ivan Wong, Edison, NJ (US);

Surya Raghavendra Vadlamani, Newtown, PA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 13/047 (2013.01); G06T 13/20 (2011.01); G06T 13/40 (2011.01); G06T 17/20 (2006.01); G10L 15/16 (2006.01); G10L 25/57 (2013.01);
U.S. Cl.
CPC ...
G10L 13/047 (2013.01); G06T 13/205 (2013.01); G06T 13/40 (2013.01); G06T 17/20 (2013.01); G10L 15/16 (2013.01); G10L 25/57 (2013.01);
Abstract

The present disclosure relates to systems, methods, and products for using machine-learning networks to generate trustworthy audio and face mesh. A system, serving as a digital avatar, generates a trust audio and trust face mesh corresponding to an input text. A method includes generating a set of trust embedding vectors based on a reference audio; generate a text embedding vector based on the input text; generate a conditioned vector based on the set of trust embedding vectors and the text embedding vector; synthesize an audio representation based on the conditioned vector; generate the trust audio based on the synthesized audio representation; obtain a speech feature representation based on the trust audio; obtain an abstract feature vector based on the speech feature representation; and generate positions of vertices based on the abstract feature vector, the positions of vertices being used for generating the trust face mesh.


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