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:
May. 13, 2025

Filed:

Jan. 09, 2024
Applicant:

Electronic Arts Inc., Redwood City, CA (US);

Inventors:

Kilol Gupta, Redwood City, CA (US);

Zahra Shakeri, Newark, CA (US);

Gordon Durity, Surrey, CA;

Mohsen Sardari, Burlingame, CA (US);

Harold Chaput, Castro Valley, CA (US);

Navid Aghdaie, San Jose, CA (US);

Assignee:

ELECTRONIC ARTS INC., Redwood City, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A63F 13/54 (2014.01); G06F 3/16 (2006.01); G06N 3/08 (2023.01); G10L 13/02 (2013.01); G10L 19/04 (2013.01); G10L 25/30 (2013.01); G10L 25/51 (2013.01);
U.S. Cl.
CPC ...
A63F 13/54 (2014.09); G06F 3/16 (2013.01); G06N 3/08 (2013.01); G10L 13/02 (2013.01); G10L 19/04 (2013.01); G10L 25/30 (2013.01); G10L 25/51 (2013.01); A63F 2300/6081 (2013.01);
Abstract

This specification describes a computer-implemented method of generating context-dependent speech audio in a video game. The method comprises obtaining contextual information relating to a state of the video game. The contextual information is inputted into a prosody prediction module. The prosody prediction module comprises a trained machine learning model which is configured to generate predicted prosodic features based on the contextual information. Input data comprising the predicted prosodic features and speech content data associated with the state of the video game is inputted into a speech audio generation module. An encoded representation of the speech content data dependent on the predicted prosodic features is generated using one or more encoders of the speech audio generation module. Context-dependent speech audio is generated, based on the encoded representation, using a decoder of the speech audio generation module.


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