Abstract: Computer-implemented systems and methods are described herein for detecting unusually frequent exactly matching and nearly matching test responses. A plurality of test responses for each of a plurality of test takers is received. Evidence of a circulated key from the plurality of test responses is identified by detecting two or more test takers with exactly matching test responses for a plurality of questions. The strength of the evidence of the circulated key is analyzed by determining the probability that the two or more test takers would produce exactly matching test responses, wherein the strength of the evidence is inversely related to the probability. Test takers with nearly matching test responses to the circulated key are then identified. All test takers with exactly matching and nearly matching test responses are tagged for further investigation.

Abstract: Systems and methods described herein automate imposture detection in, e.g., test settings based on voice samples. Based on user instructions, a processing system may determine at least one set of appointments, each having voice samples and a voice print, and a comparison plan for comparing the appointments. The comparison plan defines a plurality of appointment pairs. For each appointment pair, the system compares the associated first and second appointments by, e.g., comparing the first appointment's voice samples to the second appointment's voice print and generating corresponding raw scores, which may be used to compute a composite score. If the composite score satisfies a predetermined threshold condition for fraud, the system may determine whether flagging/holding criteria are satisfied by the raw scores. If the criteria are satisfied, a flag or hold notice may be associated with the appointment pair to trigger an appropriate system/human response (e.g., withholding the appointments' test results).

Abstract: Systems and methods described herein automate imposture detection in, e.g., test settings based on voice samples. Based on user instructions, a processing system may determine at least one set of appointments, each having voice samples and a voice print, and a comparison plan for comparing the appointments. The comparison plan defines a plurality of appointment pairs. For each appointment pair, the system compares the associated first and second appointments by, e.g., comparing the first appointment's voice samples to the second appointment's voice print and generating corresponding raw scores, which may be used to compute a composite score. If the composite score satisfies a predetermined threshold condition for fraud, the system may determine whether flagging/holding criteria are satisfied by the raw scores. If the criteria are satisfied, a flag or hold notice may be associated with the appointment pair to trigger an appropriate system/human response (e.g., withholding the appointments' test results).