Method and apparatus for controlling recognition results for speech recognition applications

• US 20060069560A1
• Filed: 08/31/2004
• Published: 03/30/2006
• Est. Priority Date: 08/31/2004
• Status: Abandoned Application

• Current Assignee: Avaya Incorporated
• Original Assignee: Avaya Incorporated
• Inventors: Passaretti, Christopher, Wu, Chingfa
• Application Number:
  US10/930,156
• Publication Number:
  US 20060069560A1
• Time in Patent Office: Days
• US Class Current: 704/251
• CPC Class Codes: G10L 15/08 Speech classification or search
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 2015/0631 Creating reference templates; Clustering
• CPC Class Codes: G10L 2015/225 Feedback of the input speech

Abstract

A diagnostic tool for speech recognition applications is provided, which enables a person to edit results achieved by a speech recognizer, during runtime, to determine results of various inputs. The results that can be altered are the speech recognition result, the confidence levels of the output, the N-Best list and the interpretation of the input speech. The invention allows the path taken by the application based on these new results to be observed. The invention enables the capabilities of the speech recognition application to be thoroughly tested without requiring multiple calls to the application.

Claims

1. A method of altering a speech recognition result in an application that uses speech recognition and using the altered result in the application, the method comprising:

receiving a spoken input;

determining a recognition result wherein the recognition result includes a plurality of attributes;

altering an attribute; and

running the application with the altered attribute.

2. A method according to claim 1, wherein one of the attributes is a speech utterance result.

3. A method according to claim 1, wherein one of the attributes is a confidence level.

4. A method according to claim 1, wherein one of the attributes is a N-best list.

5. A method according to claim 1, wherein one of the attributes is an interpretation.

6. A method according to claim 1, wherein immediately subsequent to a result being determined said application stops execution.

7. A method according to claim 6 further comprising displaying a listing of at least one of the plurality of attributes on a monitor.

8. A method according to claim 1 further comprising saving the altered attribute.

9. A method of altering a speech recognition result in an application that uses speech recognition and using the altered result in the application, the method comprising:

receiving a spoken input;

determining a recognition result wherein the recognition result includes a plurality of attributes;

altering a plurality of the attributes; and

running the application with the plurality of altered attributes.

10. A method according to claim 9, wherein at least one of the attributes is a speech utterance result.

11. A method according to claim 9, wherein at least one of the attributes is a Confidence level.

12. A method according to claim 9, wherein at least one of the attributes is a N-best list.

13. A method according to claim 9, wherein at least one of the attributes is an interpretation.

14. A method according to claim 9, wherein immediately subsequent to a result being determined said application stops execution.

15. A method according to claim 14 further comprising displaying a listing of at least one of the plurality of attributes on a monitor.

16. A method according to claim 9 further comprising saving the altered attributes.

17. A speech recognition diagnostic tool to alter a speech recognition result in an application that uses speech recognition and uses the altered result in the application comprising:

input means for receiving a spoken input;

determination means in communication with the input means for determining a recognition result wherein the recognition result includes a plurality of attributes;

diagnostic means in communication with the determination means for altering at least one of the plurality of the attributes; and

compiling means for running the application with the altered attribute.

18. A diagnostic tool according to claim 17, wherein at least one of the attributes is a speech utterance result.

19. A diagnostic tool according to claim 17, wherein at least one of the attributes is a confidence level.

20. A diagnostic tool according to claim 17, wherein at least one of the attributes is a N-best list.

21. A diagnostic tool according to claim 17, wherein at least one of the attributes is an interpretation.

22. A diagnostic tool according to claim 17 further comprising a means to stop application execution.

23. A diagnostic tool according to claim 22 further comprising a means of displaying a listing of at least one of the plurality of attributes on a monitor.

24. A diagnostic tool according to claim 17 further comprising a means of saving the altered attribute.

26. A diagnostic tool according to claim 17, wherein at least one of the attributes is a speech utterance result.

27. A diagnostic tool according to claim 17, wherein at least one of the attributes is a confidence level.

28. A diagnostic tool according to claim 17, wherein at least one of the attributes is a N-best list.

29. A diagnostic tool according to claim 17, wherein at least one of the attributes is an interpretation.

25. A speech recognition diagnostic tool to alter a speech recognition result in an application that uses speech recognition and uses the altered result in the application comprising:

an input module for receiving a spoken input;

a determination module in communication with the input means for determining a recognition result wherein the recognition result includes a plurality of attributes;

a diagnostic module in communication with the determination means for altering at least one of the plurality of the attributes; and

a compiler for running the application with the altered attribute.