Method and system for screening using voice data and metadata

• US 8,073,691 B2
• Filed: 05/29/2007
• Issued: 12/06/2011
• Est. Priority Date: 04/21/2005
• Status: Active Grant

• Current Assignee: Verint Americas Incorporated (Verint Systems Incorporated)
• Original Assignee: Victria Incorporated (Verint Systems Incorporated)
• Inventors: Rajakumar, Anthony
• Primary Examiner(s): ALBERTALLI, BRIAN LOUIS
• Application Number:
  US11/754,974
• Publication Number:
  US 20070282605A1
• Time in Patent Office: 1,652 Days
• Field of Search: None
• US Class Current: 704/246
• CPC Class Codes: G06Q 20/24 Credit schemes, i.e. "pay after"
• CPC Class Codes: G06Q 20/4014 Identity check for transactions
• CPC Class Codes: G06Q 30/0185 Product, service or business identity fraud
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof
• CPC Class Codes: G10L 17/00 Speaker identification or verification techniques

Abstract

In one embodiment, the invention provides a method, comprising: (a) maintaining a database of known fraudsters, wherein each fraudster has a voice signature and metadata associated therewith; (b) performing a screening operation to match a candidate with a fraudster in the database based on matching a voice signature and metadata for the candidate with a voice signature and metadata for the fraudster in the database.

Claims

1. A computer-implemented method, comprising:

(a) maintaining a database of known fraudsters, wherein each fraudster has a voice signature and metadata associated therewith;

(b) segmenting the database into a plurality of segmented databases based on the metadata; and

(c) performing a screening operation using a computer to match a candidate with a fraudster in the database based on matching a voice signature and metadata for the candidate with a voice signature and metadata for the fraudster in at least one segmented database, wherein each voice signature is assigned a home segmented database within which it has an accept rate, and for each voice that has gone inactive within its home segmented database, a search is carried out to determine if the voice signature is active within another segmented database.

2. The method of claim 1, wherein the metadata comprises location information associated with fraud.

3. The method of claim 1, wherein the matching is first performed based on the voiceprints;

and thereafter the results of the matching are ranked based on matching of the metadata.

4. The method of claim 1, wherein the matching is biased to produce a match for multiple screening requests from a particular address with a predefined period.

5. The method of claim 1, wherein if the voice signature is determined to be active in the other segmented database, the other segmented database is set as the home segmented database for the voice signature.

6. The method of claim 5, wherein determining if the voice signature is active in the other segmented database comprises confirming the matching using human intervention.

14. The method of claim 1, wherein the segmenting is based on requirements of particular screening entities.

7. A system, comprising:

a processor; and

a memory coupled to the processor, the memory storing instructions which when executed by the processor causes the system to perform a method comprising;

(a) maintaining a database of known fraudsters, wherein each fraudster has a voice signature and metadata associated therewith;

(b) segmenting the database into a plurality of segmented databases based on the metadata; and

(c) performing a screening operation to match a candidate with a fraudster in the database based on matching a voice signature and metadata for the candidate with a voice signature and metadata for the fraudster in at least one segmented database, wherein each voice signature is assigned a home segmented database within which it has an accept rate, and for each voice that has gone inactive within its home segmented database, a search is carried out to determine if the voice signature is active within another segmented database.

8. The system of claim 7, wherein the segmenting is based on requirements of particular screening entities.

9. The system of claim 7, wherein the metadata comprises location information associated with fraud.

10. The system of claim 7 wherein the matching is first performed based on the voiceprints;

and thereafter the results of the matching are ranked based on matching of the metadata.

11. The system of claim 7, wherein the matching is biased to produce a match for multiple screening requests from a particular address with a predefined period.

12. The system of claim 7, wherein if the voice signature is determined to be active in the other segmented database, the other segmented database is set as the home segmented database for the voice signature.

13. The system of claim 12, wherein determining if the voice signature is active in the other segmented database comprises confirming the matching using human intervention.