System and method for generating synthetic profiles for training biometric verification systems
A method, computer program product, and computing system for generating a statistical model representative of a plurality of natural biometric profiles, wherein each natural biometric profile is associated with an individual. A model of variability in the natural biometric profile associated with an individual is generated. A plurality of synthetic biometric profiles are generated using a plurality of random samples generated from the statistical model and the model of variability in the natural biometric profile associated with an individual.
1. A computer-implemented method, executed on a computing device, comprising:
generating a statistical model representative of a plurality of natural biometric profiles, wherein each individual natural biometric profile of the plurality of natural biometric profiles is associated with an individual;
generating a model of variability in the individual natural biometric profile associated with the individual, including generating a statistical model of variability in the individual natural biometric profile; and
generating a plurality of synthetic biometric profiles using the model of variability and a plurality of random samples generated from the statistical model.
2. The computer-implemented method of claim 1 , wherein each natural biometric profile includes a vector of biometric information associated with the individual.
3. The computer-implemented method of claim 1 , wherein generating the statistical model includes generating a plurality of statistical models for a plurality of biometric characteristics.
4. The computer-implemented method of claim 1 , further comprising:
disposing of the plurality of natural biometric profiles in response to generating the plurality of synthetic biometric profiles.
5. The computer-implemented method of claim 1 , wherein generating the model of variability in the individual natural biometric profile associated with the individual includes directly reproducing a relative variability in the individual natural biometric profile associated with the individual.
6. The computer-implemented method of claim 1 , further comprising:
clustering a set of natural biometric profiles.
7. The computer-implemented method of claim 6 , wherein generating the plurality of synthetic biometric profiles includes generating a synthetic biometric profile using the clustered set of natural biometric profiles.
8. The computer-implemented method of claim 1 , further comprising:
training a biometric classification system using the plurality of synthetic biometric profiles.
9. A computing system comprising:
a memory; and
a processor to generate a statistical model representative of a plurality of voiceprints, wherein each individual voiceprint is associated with an individual, to generate a model of variability in the individual voiceprint associated with the individual, including by directly reproducing a relative variability in the individual voiceprint, and to generate a plurality of synthetic voiceprints using the model of variability and a plurality of random samples generated from the statistical model.
10. The computing system of claim 9 , wherein each voiceprint includes a vector of voiceprint information associated with the individual.
11. The computing system of claim 9 , wherein generating the statistical model includes generating a plurality of statistical models for a plurality of voice characteristics.
12. The computing system of claim 9 , wherein the statistical model is a multivariate Gaussian distribution.
13. The computing system of claim 9 , wherein the statistical model is a Gaussian Mixture Model.
14. The computing system of claim 9 , wherein the processor is further configured to:
dispose of the plurality of voiceprints in response to generating the plurality of synthetic voiceprints.
15. A computer program product residing on a non-transitory computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:
generating a statistical model representative of a plurality of natural biometric profiles, wherein each natural biometric profile is associated with an individual;
generating a model of variability in the natural biometric profile associated with the individual, including generating a statistical model of variability in the natural biometric profile associated with the individual;
generating a plurality of synthetic biometric profiles using the model of variability and a plurality of random samples generated from the statistical model; and
training a biometric verification system using the plurality of synthetic biometric profiles.
16. The computer program product of claim 15 , wherein each natural biometric profile includes a vector of natural biometric profile information associated with the individual.
17. The computer program product of claim 15 , wherein generating the statistical model includes generating a plurality of statistical models for a plurality of natural biometric characteristics.
18. The computer program product of claim 15 , wherein the statistical model is a multivariate Gaussian distribution.
19. The computer program product of claim 15 , wherein the statistical model is a Gaussian Mixture Model.
20. The computer program product of claim 15 , wherein the operations further comprise:
disposing of the plurality of natural biometric profiles in response to generating the plurality of synthetic biometric profiles.