System and method for providing improved claimant authentication
AssigneeRSA Security Inc.
InventorRemco Teunen
Life of this patent
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Abstract
A system and method are provided for improving the accuracy of speaker authentication by combining the results of multiple verification sources using statistical modeling. A statistical classifier is built on top of the underlying verification sources. The classifier combines the multiple verification inputs with associated models of the respective verification technologies underlying the verification inputs. The classifier functions to classify a claimant as a true speaker or impostor based upon the verification inputs, the model or models and, potentially, additional information related to the context in which the classifier is being used.
Claims13
An improved claimant authentication system, comprising:
- a classifier configured to accept inputs from a plurality of verifier interfaces, wherein said plurality of verifier interfaces comprises at least one voice verifier and one knowledge verifier;
- and
- a plurality of population model sets, each said population model set corresponding to a respective one of said plurality of verifier interfaces and comprising a first model of true speakers and a second model of impostors;
- wherein said second model of imposters corresponding to said at least one knowledge verifier comprises a probability that an imposter knows personal identity context information associated with a true speaker of said first model;
- wherein said classifier combines said inputs with said population model sets to provide a combined authentication result.
An improved speaker authentication system, comprising:
- a statistical classifier configured to accept a plurality of inputs from a corresponding plurality of verifier interfaces, wherein said plurality of verifier interfaces comprises at least one voice verifier and one knowledge verifier;
- and
- a plurality of model sets coupled to said statistical classifier and operative to provide said statistical classifier with statistical models, wherein said statistical models are based upon information derived from an underlying verification technology corresponding to said verification interfaces;
- wherein at least two of said plurality of model sets each comprise a first model of true speakers and a second model of impostors;
- wherein said second model of imposters corresponding to said at least one knowledge verifier comprises a probability that an imposter knows personal identity context information associated with a true speaker of said first model;
- wherein said statistical classifier combines said plurality of inputs with said plurality of statistical models to provide a combined authentication result.
A method for improving the accuracy of claimant authentication, comprising the steps of:
- utilizing inputs from a plurality of verifier interfaces, wherein said plurality of verifier interfaces comprises at least one voice verifier and one knowledge verifier;
- utilizing a plurality of models constructed from information relating to an underlying verification technology of said plurality of verifier interfaces;
- and
- wherein at least two of said plurality of models each comprise a first model of true speakers and a second model of imposters;
- and
- wherein said second model of imposters corresponding to said at least one knowledge verifier comprises a probability that an imposter knows personal identity context information associated with a true speaker of said first model;
- combining said inputs with said plurality of models using a statistical classifier to provide a combined authentication result.
Dependencies are inferred from the claim text.