System and Method for Implementing Self Learning Corrections Call Monitoring

    公开(公告)号:US20170264739A1

    公开(公告)日:2017-09-14

    申请号:US15256293

    申请日:2016-09-02

    Inventor: Stephen R. Smith

    CPC classification number: H04M3/2281 G10L25/51 H04M3/42221 H04M2201/41

    Abstract: Novel tools and techniques might provide for implementing call monitoring, and, in particular embodiments, to methods, systems, apparatuses, and computer software for implementing self-learning corrections facility call monitoring. In some embodiments, a method might comprise an automated call monitor monitoring a voice or video call between a call participant and a prison inmate, and analyzing at least one of conversation content of the call, voice characteristics of the call participant and/or the prison inmate, and/or (for video calls) body language of the parties to the call, to determine whether the conversation content, voice characteristics, and/or body language are indicative of impermissible content and/or impermissible conduct (i.e., indicative of past, present, and/or future criminal behavior or acts, and the like). The automated call monitor might flag calls that present such indications of impermissible content and/or conduct, for review by corrections facility personnel, and might self-learn based on input by such personnel.

    SYSTEMS AND METHODS FOR DETECTING A CALL ANOMALY USING BIOMETRIC IDENTIFICATION

    公开(公告)号:US20170094053A1

    公开(公告)日:2017-03-30

    申请号:US15372793

    申请日:2016-12-08

    Abstract: Embodiments of the present invention are directed generally to use of biometric identification during a call for detecting an anomaly occurring in the call, such as a change in the parties participating on the call. Communication between parties of a call is monitored and biometric identification is performed using the communication. According to one exemplary embodiment, biometric prints, such as voice prints, face prints, etc., are obtained for parties that are authorized to participate on a call. The call is then monitored and biometric data (e.g., audio, video, etc.) captured from communication during the call is compared with the biometric prints of the authorized parties to detect changes in the parties participating on the call, such as a new, unauthorized party joining the call. Thus, a call processing system can detect anomalies occurring during monitored calls, such as three-way calling, a handoff of a call, etc.

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