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Methods and system for reducing false positive voice print matching

  • US 10,410,636 B2
  • Filed: 12/01/2017
  • Issued: 09/10/2019
  • Est. Priority Date: 11/09/2012
  • Status: Active Grant
First Claim
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1. A method of reducing false positive matches in voice prints which comprises:

  • receiving an audio communication from an unknown caller, separating a first portion of the audio communication into silent and non-silent segments, and evaluating the non-silent segments to determine which portions thereof are speech or non-speech;

    generating a plurality of parameters that determine what is speech and non-speech in the non-silent segments;

    using the generated parameters to determine what is speech and non-speech for at least the remainder of the audio communication;

    comparing the speech to selected audio elements of a universal background model (UBM) that characterizes the speech of the unknown caller relative to a plurality of other audio elements of the UBM;

    comparing the selected audio elements of the speech to matching audio elements of a recorded voice print from a plurality of fraudulent speakers to determine whether the speech belongs to a fraudulent speaker;

    generating a first score based on the number of selected audio elements matching audio elements of the fraudulent speaker from the plurality of fraudulent speakers;

    determining if the first score exceeds a predetermined threshold score for the fraudulent speaker; and

    comparing the selected audio elements for the unknown caller where the score exceeds the predetermined threshold score to the selected audio elements of a voice print associated with a customer account and generating a second score based on the number of selected audio elements matching audio elements associated with the customer account;

    wherein if the value of the first score exceeds the value of the second score, then generating an alert for display on an agent workstation.

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