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:
Dec. 02, 2025

Filed:

Apr. 15, 2021
Applicant:

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

Inventors:

Elie Khoury, Atlanta, GA (US);

Ganesh Sivaraman, Atlanta, GA (US);

Avrosh Kumar, Atlanta, GA (US);

Ivan Antolic-Soban, Atlanta, GA (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 21/32 (2013.01); G06N 20/00 (2019.01); G10L 17/04 (2013.01); G10L 17/18 (2013.01); G10L 17/24 (2013.01);
U.S. Cl.
CPC ...
G06F 21/32 (2013.01); G06N 20/00 (2019.01); G10L 17/04 (2013.01); G10L 17/18 (2013.01); G10L 17/24 (2013.01);
Abstract

Embodiments described herein provide for a voice biometrics system execute machine-learning architectures capable of passive, active, continuous, or static operations, or a combination thereof. Systems passively and/or continuously, in some cases in addition to actively and/or statically, enrolling speakers as the speakers speak into or around an edge device (e.g., car, television, radio, phone). The system identifies users on the fly without requiring a new speaker to mirror prompted utterances for reconfiguring operations. The system manages speaker profiles as speakers provide utterances to the system. Machine-learning architectures implement a passive and continuous voice biometrics system, possibly without knowledge of speaker identities. The system creates identities in an unsupervised manner, sometimes passively enrolling and recognizing known or unknown speakers. The system offers personalization and security across a wide range of applications, including media content for over-the-top services and IoT devices (e.g., personal assistants, vehicles), and call centers.


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