US 12,132,862 B2
Detecting scam callers using conversational agent and machine learning systems and methods
Ovidiu Serban, Sammamish, WA (US)
Assigned to T-Mobile USA, Inc., Bellevue, WA (US)
Filed by T-Mobile USA, Inc., Bellevue, WA (US)
Filed on Oct. 6, 2023, as Appl. No. 18/482,277.
Application 18/482,277 is a continuation of application No. 17/897,792, filed on Aug. 29, 2022, granted, now 11,818,289.
Application 17/897,792 is a continuation of application No. 17/372,337, filed on Jul. 9, 2021, granted, now 11,463,582, issued on Oct. 4, 2022.
Prior Publication US 2024/0040038 A1, Feb. 1, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H04M 3/00 (2024.01); G06N 20/00 (2019.01); H04M 3/436 (2006.01); H04M 3/493 (2006.01)
CPC H04M 3/493 (2013.01) [G06N 20/00 (2019.01); H04M 3/436 (2013.01); H04M 2203/6027 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computing system for automated detection of scam calls, the computing system comprising:
at least one hardware processor; and
at least one memory storing instructions that, when executed by the at least one hardware processor, cause the computing system to perform a process comprising:
receiving a phone call over a telecommunication network based on the phone call being routed away from a subscriber of the telecommunication network, wherein the subscriber is associated with a first model configured to simulate speech of the subscriber;
simulating, via the first model, the speech of the subscriber to induce one or more responses from a caller of the phone call;
classifying, via a second model, the caller of the phone call as a scam caller or not a scam caller based on the one or more responses; and
processing the phone call based on whether the caller is classified as a scam caller.