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 …

According to an embodiment of the disclosure, a toll-free telecommunications validation
system determines a confi dence value that an incoming phone call to an enterprises' toll …

Abstract Systems and methods for call detail record (CDR) analysis to determine a risk score
for a call and identify fraudulent activity and for fraud detection in Interactive Voice Response …

A radio frequency (RF) communications system may include an RF transmitter having
multicarrier transmitter circuitry that transmits frequency bands over a frequency range. A …

A system and method for processing a plurality of channels, for example audio channels, in
parallel is provided. For example, a plurality of telephony channels are processed in order to …

A system described herein may provide a technique for Embodiments described herein
provide for the use of machine learning, artificial intelligence, and/or other techniques for …

According to an embodiment of the disclosure, a toll-free telecommunications validation
system determines a confidence value that an incoming phone call to an enterprises” toll …

Embodiments described herein provide for performing a risk assessment using graph-
derived features of a user interaction. A computer receives interaction information and infers …

According to an embodiment of the disclosure, a toll-free telecommunications validation
system determines a confidence value that an incoming phone call to an enterprises' toll …

Techniques are disclosed to determine one or more specific data points that may be found in
or added to call metadata that will assist and/or enhance confidence score algorithms. A call …