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. 15, 2025

Filed:

Apr. 25, 2022
Applicant:

Cisco Technology, Inc., San Jose, CA (US);

Inventors:

Eric Y. Chen, Irvine, CA (US);

Shamim S. Pirzada, San Jose, CA (US);

Cullen Frishman Jennings, Calgary, CA;

Assignee:

CISCO TECHNOLOGY, INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 21/0364 (2013.01); G06F 18/2413 (2023.01); G06V 10/82 (2022.01); G06V 20/60 (2022.01); G06V 40/10 (2022.01); G06V 40/16 (2022.01); G10L 15/06 (2013.01); G10L 15/18 (2013.01); G10L 15/187 (2013.01); G10L 15/22 (2006.01); G10L 15/25 (2013.01); G10L 15/30 (2013.01); G10L 21/02 (2013.01); G10L 21/034 (2013.01); G10L 25/30 (2013.01);
U.S. Cl.
CPC ...
G10L 21/0364 (2013.01); G06V 20/60 (2022.01); G06V 40/10 (2022.01); G10L 15/063 (2013.01); G10L 15/1807 (2013.01); G10L 15/187 (2013.01); G10L 15/22 (2013.01); G10L 15/25 (2013.01); G10L 15/30 (2013.01); G10L 21/034 (2013.01); G10L 2021/03646 (2013.01);
Abstract

In one example embodiment, audio characteristics of audio signals are adjusted by a first machine learning model to reduce effects of a facial covering and produce adjusted audio signals. The audio signals correspond to resulting voice signals produced from the facial covering affecting original voice signals. Speech characteristics are predicted for the adjusted audio signals by a second machine learning model. Transformed audio signals corresponding to the original voice signals are produced based on the adjusted audio signals and predicted speech characteristics.


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