公开(公告)号：US20210326421A1

公开(公告)日：2021-10-21

申请号：US17231672

申请日：2021-04-15

Applicant: PINDROP SECURITY, INC.

Inventor： Elie KHOURY ,  Ganesh SIVARAMAN ,  Avrosh KUMAR ,  Ivan ANTOLIC-SOBAN

IPC: G06F21/32 ,  G10L17/18 ,  G10L17/04 ,  G10L17/24 ,  G06N20/00

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.