Analyzing voice characteristics to detect fraudulent call activity and take corrective action without using recording, transcription or caller ID

摘要

A system and method for monitoring telephone calls to detect fraudulent activity and take corrective action is described. The system receives a first group of telephone calls having associated voice characteristics and analyzes the first group of telephone calls to identify and store a first set of distributions of voice characteristics that are indicative of normal activity, fraudulent activity, or indeterminate activity. The system receives a second group of telephone calls to be analyzed. The system analyzes the second group of telephone calls to identify a second set of distributions of voice characteristics associated with the second group of telephone calls. The system then compares the second set of distributions of voice characteristics to the stored first set of distributions of voice characteristics to assess a probability that one or more telephone calls in the second group of telephone calls represents normal, fraudulent, or indeterminate activity. If the assessed probability of fraudulent activity exceeds a threshold, the system takes appropriate corrective action, such a flagging the fraudulent call or withholding a financial incentive associated with the fraudulent call.

主权项

1. A method for monitoring telephone calls to detect fraudulent activity and take corrective action, comprising:
receiving a first group of telephone calls having associated voice characteristics; analyzing the first group of telephone calls to identify a first set of distributions of voice characteristics that are indicative of one or more levels of fraudulent activity; storing the identified first set of distributions of voice characteristics; receiving a second telephone call having associated voice characteristics; analyzing the second telephone call to identify a second set of distributions of voice characteristics associated with the second telephone call, wherein the analysis is performed without transcription, caller identification or recording; assessing a probability that the second telephone call corresponds to one or more levels of fraudulent activity,
wherein the assessing comprises comparing the identified second set of distributions of voice characteristics to the stored first set of distributions of voice characteristics, andwherein the assessed probability of fraudulent activity increases in response to detecting that the second telephone call is associated with a caller that has placed multiple calls within a determined period of time; and executing a corrective action when the assessed probability that the second telephone call represents one or more levels of fraudulent activity exceeds a threshold.