SYSTEM AND METHOD FOR RECOGNITION OF ALPHANUMERIC PATTERNS INCLUDING LICENSE PLATE NUMBERS

• US 20110202338A1
• Filed: 02/14/2011
• Published: 08/18/2011
• Est. Priority Date: 02/18/2010
• Status: Abandoned Application

• Current Assignee: Road HERO Incorporated
• Original Assignee: Road HERO Incorporated
• Inventors: INGHELBRECHT, Philip
• Application Number:
  US13/026,993
• Publication Number:
  US 20110202338A1
• Time in Patent Office: Days
• US Class Current: 704/231
• CPC Class Codes: G10L 15/193 Formal grammars, e.g. finite state automata, context free grammars or word networks
• CPC Class Codes: G10L 2015/228 of application context

Abstract

Voice recognition technology is combined with external information sources and/or contextual information to enhance the quality of voice recognition results specifically for the use case of reading out or speaking an alphanumeric identifier. The alphanumeric identifier may be associated with a good, service, person, account, or other entity. For example, the identifier may be a vehicle license plate number.

Claims

1. A method of recognizing an audible alphanumeric pattern associated with a vehicle, the method comprising:

receiving audio information corresponding to an alphanumeric pattern spoken by a user identifying a vehicle identifier carried by a vehicle;

obtaining contextual information, wherein the contextual information comprises one or more of a context of the vehicle, a context of the user, or a description of the vehicle;

processing the received audio information to identify the vehicle identifier, wherein identification of the vehicle identifier from the received audio information is further based on the obtained contextual information.

2. The method of claim 1, wherein processing the received audio information to identify the vehicle identifier comprises:

determining a set of potential vehicle identifiers from the received audio information; and

receiving a selection of one of the potential vehicle identifiers from the user.

3. The method of claim 1, wherein the contextual information comprises contextual information input by the user and/or contextual information determined automatically.

4. The method of claim 1, wherein the contextual information comprises one or more of a location of the user, a location of the vehicle, or a state associated with the vehicle identifier.

5. The method of claim 1, wherein processing the received audio information to identify the vehicle identifier comprises:

identifying a set of potential vehicle identifiers from the received audio information; and

filtering the set of potential vehicle identifiers based on a comparison of individual potential identifiers from the set of potential vehicle identifiers with actual vehicle identifiers.

6. The method of claim 5, wherein filtering the set of potential vehicle identifiers comprises removing a given potential vehicle identifier from the set of potential vehicle identifiers responsive to the given potential vehicle identifier failing to correlate with any actual vehicle identifier in a stored set of actual vehicle identifiers.

7. The method of claim 5, wherein filtering the set of potential vehicle identifiers comprises removing a given potential vehicle identifier from the set of potential vehicle identifiers responsive to the given potential vehicle identifier correlating to an actual vehicle identifier associated with a location and/or a vehicle that contradicts the obtained contextual information.

8. The method of claim 1, wherein processing the received audio information to identify the vehicle identifier comprises:

identifying a set of potential vehicle identifiers from the received audio information; and

determining probabilities of correctness for individual ones of the potential vehicle identifiers.

9. The method of claim 1, wherein determining the probabilities of correctness for individual ones of the potential vehicle identifiers is based on the obtained contextual information.

14. The system of claim 1, wherein the processor is configured to process the received audio information to identify the identifier by:

identifying a set of potential identifiers from the received audio information; and

filtering the set of potential identifiers based on a comparison of individual potential identifiers from of the set of identifiers with actual identifiers.

15. The system of claim 14, wherein the processor is configured such that filtering the set of potential identifiers comprises removing a given potential identifier from the set of potential identifiers responsive to the given potential identifier failing to correlate with any actual identifier.

16. The system of claim 14, wherein filtering the set of potential identifiers comprises removing a given potential identifier from the set of potential identifiers responsive to the given potential identifier correlating to an actual identifier associated with a context that contradicts the obtained contextual information.

10. A system configured to recognize spoken alphanumeric patterns, the system comprising:

one or more processors configured (i) to receive audio information, the audio information corresponding to an alphanumeric pattern spoken by a user, wherein the alphanumeric pattern is an identifier, (ii) to obtain contextual information, wherein the contextual information comprises one or more of a context of a good or service associated with the identifier, a context of the user, or a description of the good or service associated with the identifier, and (iii) to process the received audio information to identify the identifier, wherein identification of the identifier from the received audio information is further based on the obtained contextual information.

11. The system of claim 10, wherein the processor is configured to process the received audio information to identify the identifier by:

determining a set of potential identifiers from the audio information; and

receiving a selection of one of the potential identifiers from the user.

12. The system of claim 10, wherein the contextual information comprises contextual information input by the user and/or contextual information determined automatically.

13. The system of claim 10, wherein the contextual information comprises one or both of a location of the user and/or a location associated with the good or service.

17. The system of claim 10, wherein the processor is configured to process the received audio information to identify the identifier by:

identifying a set of potential identifiers from the received audio information; and

determining probabilities of correctness for individual ones of the potential identifiers.

18. The system of claim 17, wherein the processor is configured such that determining the probabilities of correctness for individual ones of the potential identifiers is based on the obtained contextual information.

19. The system of claim 10, wherein the identifier is a vehicle license plate number, and wherein the good and/or service associated with the vehicle license plate number comprises a vehicle license plate.

20. The system of claim 10, wherein the identifier is a vehicle license plate number, and wherein the good and/or service associated with the vehicle license plate number comprises a vehicle.