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. 11, 2026

Filed:

Apr. 25, 2024
Applicant:

Pindrop Security, Inc., Atlanta, GA (US);

Inventors:

Elie Khoury, Atlanta, GA (US);

Ganesh Sivaraman, Atlanta, GA (US);

Tianxiang Chen, Atlanta, GA (US);

Nikolay Gaubitch, Atlanta, GA (US);

David Looney, Atlanta, GA (US);

Amit Gupta, Atlanta, GA (US);

Vijay Balasubramaniyan, Atlanta, GA (US);

Nicholas Klein, Atlanta, GA (US);

Anthony Stankus, Atlanta, GA (US);

Assignee:

Pindrop Security, Inc., Atlanta, GA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 17/00 (2013.01); G06F 21/32 (2013.01); G10L 15/02 (2006.01); G10L 17/02 (2013.01); G10L 17/04 (2013.01); G10L 17/08 (2013.01); G10L 17/18 (2013.01); G10L 17/26 (2013.01); G10L 25/51 (2013.01); G10L 25/60 (2013.01); H04M 3/22 (2006.01); H04M 3/42 (2006.01); H04M 3/51 (2006.01); G10L 25/30 (2013.01);
U.S. Cl.
CPC ...
G10L 17/26 (2013.01); G06F 21/32 (2013.01); G10L 15/02 (2013.01); G10L 17/00 (2013.01); G10L 17/02 (2013.01); G10L 17/04 (2013.01); G10L 17/08 (2013.01); G10L 17/18 (2013.01); G10L 25/51 (2013.01); G10L 25/60 (2013.01); H04M 3/2281 (2013.01); H04M 3/42221 (2013.01); H04M 3/5175 (2013.01); H04M 3/5183 (2013.01); G10L 25/30 (2013.01); H04M 2201/405 (2013.01);
Abstract

Disclosed are systems and methods including software processes executed by a server that detect audio-based synthetic speech ('deepfakes') in a call conversation. Embodiments include systems and methods for detecting fraudulent presentation attacks using multiple functional engines that implement various fraud-detection techniques, to produce calibrated scores and/or fused scores. A computer may, for example, evaluate the audio quality of speech signals within audio signals, where speech signals contain the speech portions having speaker utterances.


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