SEAMLESS AUTHENTICATION AND ENROLLMENT

• US 20140330563A1
• Filed: 05/02/2013
• Published: 11/06/2014
• Est. Priority Date: 05/02/2013
• Status: Active Grant

• Current Assignee: Nice Ltd
• Original Assignee: Nice Systems Limited (Nice Ltd)
• Inventors: FAIANS, Shahar, Lousky, Avraham, Hoffman, Elad, Sabban, Alon, Kahn, Jade Tarni, Mandler, Roie
• Granted Patent: US 9,620,123 B2
• Time in Patent Office: Days
• US Class Current: 704/236
• CPC Class Codes: G06Q 30/0185 Product, service or business identity fraud
• CPC Class Codes: G10L 17/04 Training, enrolment or model building
• CPC Class Codes: G10L 17/06 Decision making techniques; Pattern matching strategies
• CPC Class Codes: G10L 17/22 Interactive procedures; Man-machine interfaces
• CPC Class Codes: H04L 63/0861 using biometrical features, e.g. fingerprint, retina-scan cryptographic mechanisms or cryptographic arrangements for entity authentication using biological data H04L9/3231

Abstract

Some aspects of the invention may include a computer-implemented method for enrolling voice prints generated from audio streams, in a database. The method may include receiving an audio stream of a communication session and creating a preliminary association between the audio stream and an identity of a customer that has engaged in the communication session based on identification information. The method may further include determining a confidence level of the preliminary association based on authentication information related to the customer and if the confidence level is higher than a threshold, sending a request to compare the audio stream to a database of voice prints of known fraudsters. If the audio stream does not match any known fraudsters, sending a request to generate from the audio stream a current voice print associated with the customer and enrolling the voice print in a customer voice print database.

Claims

1. A computer-implemented method comprising:

receiving an audio stream of a communication session;

creating a preliminary association between the audio stream and an identity of a customer that has engaged in the communication session based on identification information;

determining a confidence level of the preliminary association based on authentication information related to the customer;

if the confidence level is higher than a threshold,

sending a request to compare the audio stream to a database of voice prints of known fraudsters;

if the audio stream does not match any known fraudsters, sending a request to generate from the audio stream a current voice print associated with the customer; and

enrolling the voice print in a customer voice print database.

2. The method of claim 1, further comprising:

determining if a previously enrolled voice print is associated with the customer;

if so, comparing the previously enrolled voice print with the current voice print; and

only if the generated voice print matches the previously enrolled voice print associated with the customer, enrolling the generated voice print.

3. The method of claim 1, further comprising:

comparing the current voice print associated with the customer to voice prints associated with other customers;

if the current voice print does not match any other voice prints associated with any of the other customers, enrolling the current voice print.

4. The method of claim 3, further comprising:

storing the current voice print associated with the customer for a period of time;

comparing the current voice print to any voice prints associated with other customers that were enrolled during the period of time.

5. The method of claim 1, wherein the identification information and the authentication information are received from at least one database.

6. The method of claim 1, wherein the confidence level is determined based on data provided by the customer during at least one communication session.

7. The method of claim 1, wherein receiving the audio stream comprises receiving the audio stream from an audio server that archives audio data of historical communication sessions.

8. The method of claim 1, wherein the authentication information includes parameters related to at least one of:

knowledge based information and secret pass key.

9. The method of claim 1, wherein the authentication information includes parameters related to historical actions preformed by the customer.

10. The method of claim 1, further comprising:

receiving an audio stream during a succeeding communication session with the customer;

receiving the identity of the customer during the new communication session;

sending a request for authentication of the identity of the customer, during the succeeding communication session based on the voice print in the customer voice print database; and

receiving information related to the authentication of the identity of the customer during the succeeding communication session.

11. The method of claim 9, comprising receiving a customer consent to record the communication session.

12. The method of claim 11, wherein receiving the consent is related to at least one of:

geographical origin of the communication session or the geographical origin of customer.

13. The method of claim 1, further comprising determining whether to enroll voice print based on a criterion.

14. The method of claim 13, wherein the criterion includes at least one of:

a status of the customer and the quality of the audio stream.

15. An apparatus comprising:

a processor configured to;

receive an audio stream associated with a communication session;

create a preliminary association between the audio stream and an identity of a customer that has engaged in the communication session based on identification information;

determine a confidence level of the preliminary association based on authentication information related to the customer;

if the confidence level is higher than a threshold,

send a request to compare the audio stream to a database of voice prints of known fraudsters;

if the audio stream does not match any known fraudsters, send a request to generate from the audio stream a current voice print associated with the customer; and

enroll the voice print in a customer voice print database.

16. The apparatus of claim 15, further comprising an audio server for producing the audio stream.

17. The apparatus of claim 15, further comprising at least one databases for storing at least one of:

the identification information and the authentication information.

18. The apparatus of claim 15, wherein the processor is further configured to:

determine if previously enrolled at least one voice print is associated with the customer;

if so, compare the previously enrolled voice print with the current voice print; and

only if the generated voice print matches the previously enrolled voice print associated with the customer, enroll the generated voice print.

19. The apparatus of claim 15, wherein the processor is further configured to:

compare the current voice print associated with the customer to voice prints associated with other customers;

if the current voice print does not match any other voice prints associated with any of the other customers, enroll the current voice print.

20. An article comprising a non-transitory computer-readable storage medium, having instructions stored thereon that when executed by a processor, cause the processor to:

receive an audio stream associated with a communication session;

create a preliminary association between the audio stream and an identity of a customer that has engaged in the communication session based on identification information;

determine a confidence level of the preliminary association based on authentication information related to the customer;

if the confidence level is higher than a threshold, send a request to compare the audio stream to a database of voice prints of known fraudsters;

if the audio stream does not match any known fraudsters, send a request to generate from the audio stream a current voice print associated with the customer; and

enroll the voice print in a customer voice print database.