Voice print recognition software system for voice identification and matching

• US 20080091425A1
• Filed: 06/05/2007
• Published: 04/17/2008
• Est. Priority Date: 06/15/2006
• Status: Active Grant

• Current Assignee: James Kane
• Original Assignee: James Kane
• Inventors: Kane, James
• Granted Patent: US 8,595,007 B2
• Time in Patent Office: Days
• US Class Current: 704/246
• CPC Class Codes: G10L 17/04 Training, enrolment or model building

Abstract

Positive identification of local inhabitants plays an important role in modern military, police and security operations. Since terrorists use all means to masquerade as local inhabitants, the identification of terrorist or hostile suspects becomes an increasingly complicated task. The instant software solution will assist military, police and security forces in the identification of suspects using Voice Print Recognition (VPR) technology. Our VPR software will compare and recognize, or match, specific voice samples with stored, digital voice models (voice prints) for the purpose of establishing or verifying identity. VPR software will support an operator'"'"'s decision and situational awareness through the verification of a person'"'"'s identity (for instance: remote access control), but more importantly will assist in the identification of suspect individuals (identifying suspects among a large group of captured individuals). This second application is critical for the modern counter and anti-terrorist operations environment. The VPR system will be easy to use, fast, and helpful to users with minimal operational training. The VPR system will provide a method, as practiced on or via access to a computing device, which includes software for acquisition of voice records, storage of such records, identification algorithms, user and software interfaces. The system will also have server and client applications in its implementation.

Claims

1. A method for identification verification comprising the steps of:

employing means for obtaining at least one first spoken voice print of an individual speaking at least one piece of personal data;

storing said at least one first spoken voice print of said individual in a database;

employing means for obtaining at least one second spoken voice print of a user speaking at least one piece of personal data;

comparing said at least one second spoken voice print of said user to said at least one first voice print of said individual; and

determining if said user is said individual based on the results of said comparison.

2. The method of claim 1, further comprising the step of determining that a non-match between said user and said individual is based on at least one of:

poor quality of the voice print, no voice print record of the user in the database or identification data of user in database but no voice print record in the database.

3. The method of claim 2, further comprising the step of storing said at least one second spoken voice print of said user in said database if it is determined that said user is not said individual.

4. The method of claim 3, further comprising the step of employing means for obtaining at least one third spoken voice print of said user speaking at least one piece of personal data;

comparing said at least one third spoken voice print of said user to said at least one second voice print of said user; and

determining if said user is said individual based on the results of said comparison.

5. The method of claim 1, wherein the step of employing means for obtaining said at least one second spoken voice print of said user is performed on site.

6. The method of claim 1, wherein the step of employing means for obtaining said at least one second spoken voice print of said user is performed from an intercepted communication.

7. The method of claim 1, wherein the step of employing means for obtaining said at least one second spoken voice print of said user occurs in a multi-speaker environment.

8. The method of claim 4, wherein said user is a non-cooperative suspect.

9. The method of claim 8, wherein the step of employing means for obtaining said at least one second spoken voice print of said user is performed on site.

10. The method of claim 8, wherein the step of employing means for obtaining said at least one second spoken voice print of said user is performed from an intercepted communication.

11. The method of claim 8, wherein the step of employing means for obtaining said at least one second spoken voice print of said user occurs in a multi-speaker environment.

12. A method for identification verification comprising the steps of:

employing means for obtaining at least one first spoken voice print of an individual speaking at least one piece of non-personal data;

storing said at least one first spoken voice print of said individual in a database, employing means for obtaining at least one second spoken voice print of a user speaking at least one piece of non-personal data;

comparing said at least one second spoken voice print of said user to said at least one first voice print of said individual; and

determining if said user is said individual based on the results of said comparison.

13. The method of claim 12, further comprising the step of determining that a non-match between said user and said individual is based on at least one of:

poor quality of the voice print, no voice print record of the user in the database or identification data of user in database but no voice print record in the database.

14. The method of claim 13, further comprising the step of storing said at least one second spoken voice print of said user in said database if it is determined that said user is not said individual.

15. The method of claim 14, further comprising the step of employing means for obtaining at least one third spoken voice print of a user speaking at least one piece of personal data;

comparing said at least one third spoken voice print of said user to said at least one second voice print of said user; and

determining if said user is said individual based on the results of said comparison.

16. The method of claim 12, wherein the step of employing means for obtaining said at least one second spoken voice print of said user is performed on site.

17. The method of claim 12, wherein the step of employing means for obtaining said at least one second spoken voice print of said user is performed from an intercepted communication.

18. The method of claim 12, wherein the step of employing means for obtaining said at least one second spoken voice print of said user occurs in a multi-speaker environment.

19. The method of claim 15, wherein said user is a non-cooperative suspect.

20. The method of claim 19, wherein the step of employing means for obtaining said at least one second spoken voice print of said user is performed on site.

21. The method of claim 19, wherein the step of employing means for obtaining said at least one second spoken voice print of said user is performed from an intercepted communication.

22. The method of claim 19, wherein the step of employing means for obtaining said at least one second spoken voice print of said user occurs in a multi-speaker environment.

23. A computer system implementing a method for identification verification comprising the steps of:

employing means for obtaining at least one first spoken voice print of an individual speaking at least one piece of personal data;

storing said at least one first spoken voice print of said individual in a database;

employing means for obtaining at least one second spoken voice print of a user speaking at least one piece of personal data;

comparing said at least one second spoken voice print of said user to said at least one first voice print of said individual; and

determining if said user is said individual based on the results of said comparison

24. The computer system of claim 23, further comprising the step of determining that a non-match between said user and said individual is based on at least one of:

poor quality of the voice print, no voice print record of the user in the database or identification data of user in database but no voice print record in the database.

25. The computer system of claim 23, further comprising the step of storing said at least one second spoken voice print of said user in said database if it is determined that said user is not said individual.

26. The computer system of claim 25, further comprising the step of employing means for obtaining at least one third spoken voice print of a user speaking at least one piece of personal data;

comparing said at least one third spoken voice print of said user to said at least one second voice print of said user; and

determining if said user is said individual based on the results of said comparison.

27. The computer system of claim 23, wherein the step of employing means for obtaining said at least one second spoken voice print of said user is performed on site.

28. The computer system of claim 23, wherein the step of obtaining said at least one second spoken voice print of said user is performed from an intercepted communication.

29. The computer system of claim 23, wherein the step of employing means for obtaining said at least one second spoken voice print of said user occurs in a multi-speaker environment.

30. The computer system of claim 25, wherein said user is a non-cooperative suspect.

31. The computer system of claim 30, wherein the step of employing means for obtaining said at least one second spoken voice print of said user is performed on site.

32. The computer system of claim 30, wherein the step of employing means for obtaining said at least one second spoken voice print of said user is performed from an intercepted communication.

33. The computer system of claim 30, wherein the step of employing means for obtaining said at least one second spoken voice print of said user occurs in a multi-speaker environment.

34. A machine readable medium storing instructions, that when executed by a computer causes the computer to perform a set of operations comprising:

employing means for obtaining at least one first spoken voice print of an individual speaking at least one piece of personal data;

storing said at least one first spoken voice print of said individual in a database;

employing means for obtaining at least one second spoken voice print of a user speaking at least one piece of personal data;

comparing said at least one second spoken voice print of said user to said at least one first voice print of said individual; and

determining if said user is said individual based on the results of said comparison

35. The machine readable medium of claim 34, further comprising the step of determining that a non-match between said user and said individual is based on at least one of:

poor quality of the voice print, no voice print record of the user in the database or identification data of user in database but no voice print record in the database.

36. The machine readable medium of claim 35, further comprising the step of storing said at least one second spoken voice print of said user in said database if it is determined that said user is not said individual.

37. The machine readable medium of claim 36, further comprising the step of employing means for obtaining at least one third spoken voice print of a user speaking at least one piece of personal data;

comparing said at least one third spoken voice print of said user to said at least one second voice print of said user; and

determining if said user is said individual based on the results of said comparison.

38. The machine readable medium of claim 34, wherein the step of employing means for obtaining said at least one second spoken voice print of said user is performed on site.

39. The machine readable medium of claim 34, wherein the step of employing means for obtaining said at least one second spoken voice print of said user is performed from an intercepted communication.

40. The machine readable medium of claim 34, wherein the step of employing means for obtaining said at least one second spoken voice print of said user occurs in a multi-speaker environment.

41. The machine readable medium of claim 37, wherein said user is a non-cooperative suspect.

42. The machine readable medium of claim 41, wherein the step of obtaining said at least one second spoken voice print of said user is performed on site.

43. The machine readable medium of claim 41, wherein the step of employing means for obtaining said at least one second spoken voice print of said user is performed from an intercepted communication.

44. The machine readable medium of claim 41, wherein the step of employing means for obtaining said at least one second spoken voice print of said user occurs in a multi-speaker environment.