| 摘要 |
Embodiments of techniques or systems for fraud detection are provided herein. A communication may be received where the communication includes one or more voice signals from an individual. Frequency responses associated with these voice signals may be determined and analyzed and utilized to determine whether or not potential fraudulent activity is occurring. For example, if a frequency response is greater than a frequency threshold, potential fraudulent activity may be determined. Further, frequency responses may be cross referenced with voice biometrics, voice printing, or fraud pathway detection results. In this way, voice stress or frequency responses may be utilized to build other databases related to other types of fraud detection, thereby enhancing one or more aspects of fraud detection. For example, a database may include a voice library, a pathway library, or a frequency library which include characteristics associated with fraudulent activity, thereby facilitating identification of such activity. |
| 主权项 |
1. A system for fraud detection, comprising:
a database component comprising a voice library comprising one or more voice samples of individuals deemed to be fraudsters; a monitoring component:
identifying one or more segments of a communication as a salutation segment, a verification segment, a conversation segment, or a summary segment;isolating one or more voice signals from one or more of the segments of the communication; andcomparing one or more of the voice signals from one or more of the segments of the communication with one or more of the voice samples of the voice library to generate a voice match determination; an analysis component analyzing one or more frequency responses of one or more of the voice signals from one or more of the segments of the communication to generate a frequency determination; and a fraud component identifying potential fraudulent activity based on the voice match determination or the frequency determination; wherein the monitoring component, the database component, the analysis component, or the fraud component is implemented via a processing unit. |
