Patent · US Active

Detecting fraud using machine-learning and recorded voice clips

US11553080B2 · kind B2 · utility

2Cited by

21References

20Claims

0Family size

Assignee

CAPITAL ONE SERVICES, LLC · US

Inventors

Kaitlin Newman · Washington, US
Jeffrey RULE · Chevy Chase Section Five, US
Rajko Ilincic · McLean, US

Key dates

Filing date	Oct 14, 2020
Grant date	Jan 10, 2023
Priority date	—
Expiry date	May 21, 2041

Classification

Technology area (CPC H)Electricity
CPC primaryH04M2203/6027
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A system and method are disclosed for training a machine-learning model to detect characteristics of fraudulent calls. The machine-learning model is trained using audio clips, voice recognition, call handler feedback and general public knowledge of commercial risks to detect and divert fraudulent calls, thereby alleviating the burdens otherwise placed on call center service representatives.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.