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Predicting outcomes for events based on voice characteristics and content of a contact center communication

  • US 9,472,188 B1
  • Filed: 11/15/2013
  • Issued: 10/18/2016
  • Est. Priority Date: 11/15/2013
  • Status: Active Grant
First Claim
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1. A method for determining whether to conduct a follow-up communication with a party based on predicting an outcome for the follow-up communication with the party, the method comprising the steps of:

  • receiving a voice sample of a first communication conducted with the party in which the party is speaking about an event of interest;

    extracting one or more voice characteristics from the voice sample by at least one computer processor;

    applying at least a first classifier model to the one or more voice characteristics by the at least one computer processor to provide a first predicted outcome of whether the follow-up communication with the party will result in the event of interest occurring;

    performing analytics on the voice sample by the at least one computer processor to detect a set of words being spoken by the party in the voice sample;

    applying at least a second classifier model to the set of words by the at least one computer processor to provide a second predicted outcome of whether the follow-up communication with the party will result in the event of interest occurring;

    determining by the at least one computer processor whether the first predicted outcome and the second predicted outcome match;

    in response to the first predicted outcome and the second predicted outcome matching, predicting the outcome to the follow-up communication with the party as being the first predicted outcome;

    in response to the first predicted outcome and the second predicted outcome not matching, predicting the outcome to the follow-up communication with the party as being (1) the first predicted outcome if the first classifier model is historically more accurate than the second classifier model at providing predicted outcomes or (2) the second predicted outcome if the second classifier model is historically more accurate than the first classifier model at providing predicted outcomes; and

    conducting the follow-up communication with the party in response to predicting the outcome to the follow-up communication with the party will result in the event of interest occurring.

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