Mobile dictation correction user interface

• US 20060149551A1
• Filed: 12/22/2005
• Published: 07/06/2006
• Est. Priority Date: 12/22/2004
• Status: Abandoned Application

• Current Assignee: Nuance Communications, Inc. (Microsoft Corporation)
• Original Assignee: Nuance Communications, Inc. (Microsoft Corporation)
• Inventors: Schalkwyk, Johan, Ganong, William Francis III
• Application Number:
  US11/316,347
• Publication Number:
  US 20060149551A1
• Time in Patent Office: Days
• US Class Current: 704/270.100
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 15/30 Distributed recognition, e.g. in client-server systems, for mobile phones or network applications

Abstract

A method of speech recognition is described for use with mobile user devices. A speech signal representative of input speech is forwarded from a mobile user device to a remote server. At the mobile user device, a speech recognition result representative of the speech signal is received from the remote server. The speech recognition result includes alternate recognition hypotheses associated with one or more portions of the speech recognition result. A user correction selection representing a portion of the speech recognition result is obtained from the user. The user is presented with selected alternate recognition hypotheses associated with the user correction selection. A user chosen one of the selected alternate recognition hypotheses is substituted for the user correction selection to form a corrected speech recognition result.

Claims

1. A method of speech recognition comprising:

forwarding a speech signal representative of input speech from a mobile user device to a remote server;

receiving at the mobile user device from the remote server a speech recognition result representative of the speech signal, the speech recognition result including alternate recognition hypotheses associated with one or more portions of the speech recognition result;

obtaining a user correction selection representing a portion of the speech recognition result;

presenting to a user selected alternate recognition hypotheses associated with the user correction selection; and

substituting a user chosen one of the selected alternate recognition hypotheses for the user correction selection to form a corrected speech recognition result.

2. A method according to claim 1, further comprising:

using the corrected speech recognition in an e-mail message from mobile user device.

3. A method according to claim 1, further comprising:

using the corrected speech recognition result in a field force automation application.

4. A method according to claim 1, further comprising:

using the corrected speech recognition result in a short messaging service (SMS) application.

5. A method according to claim 1, wherein the speech signal is a speech data file optimized for automatic speech recognition.

6. A method according to claim 1, wherein the speech signal is a distributed speech recognition (DSR) format stream of analyzed frames of speech data for automatic speech recognition.

7. A method according to claim 1, wherein the user correction selection is obtained based on speech recognition of a user correction selection input.

8. A method according to claim 1, wherein the speech recognition results include a word lattice containing the alternate recognition hypotheses.

9. A method according to claim 1, wherein the speech recognition results include a recognition sausage containing the alternate recognition hypotheses.

10. A method according to claim 1, wherein the selected alternate recognition hypotheses are derived via an instantaneous correction algorithm.

11. A method according to claim 1, wherein the selected alternate recognition hypotheses are derived via a phone to letter algorithm.

12. A speech recognition user correction interface for a mobile device comprising:

means for forwarding a speech signal representative of input speech from a mobile user device to a remote server;

means for receiving at the mobile user device from the remote server a speech recognition result representative of the speech signal, the speech recognition result including alternate recognition hypotheses associated with one or more portions of the speech recognition result;

means for obtaining a user correction selection representing a portion of the speech recognition result;

means for presenting to a user selected alternate recognition hypotheses associated with the user correction selection; and

means for substituting a user chosen one of the selected alternate recognition hypotheses for the user correction selection to form a corrected speech recognition result.

13. A user correction interface according to claim 12, further comprising:

means for using the corrected speech recognition in an e-mail message from mobile user device.

14. A user correction interface according to claim 12, further comprising:

means for using the corrected speech recognition result in a field force automation application.

15. A user correction interface according to claim 12, further comprising:

mean for using the corrected speech recognition result in a short messaging service (SMS) application.

16. A user correction interface according to claim 12, wherein the speech signal is a speech data file optimized for automatic speech recognition.

17. A user correction interface according to claim 12, wherein the speech signal is a distributed speech recognition (DSR) format stream of analyzed frames of speech data for automatic speech recognition.

18. A user correction interface according to claim 12, wherein the means for obtaining a user correction selection uses speech recognition of a user correction selection input.

19. A user correction interface according to claim 12, wherein the speech recognition results include a word lattice containing the alternate recognition hypotheses.

20. A user correction interface according to claim 12, wherein the speech recognition results include a recognition sausage containing the alternate recognition hypotheses.

21. A user correction interface according to claim 12, wherein the means for presenting selected alternate recognition hypotheses uses an instantaneous correction algorithm.

22. A user correction interface according to claim 12, wherein the selected alternate recognition hypotheses are derived via a phone to letter algorithm.

23. A user correction interface according to claim 12, wherein the means for presenting selected alternate recognition hypotheses uses a phone to letter algorithm.

24. A mobile user device comprising:

a user correction interface including;

means for forwarding a speech signal representative of input speech from a mobile user device to a remote server;

means for receiving at the mobile user device from the remote server a speech recognition result representative of the speech signal, the speech recognition result including alternate recognition hypotheses associated with one or more portions of the speech recognition result;

means for obtaining a user correction selection representing a portion of the speech recognition result;

means for presenting to a user selected alternate recognition hypotheses associated with the user correction selection; and

means for substituting a user chosen one of the selected alternate recognition hypotheses for the user correction selection to form a corrected speech recognition result.

25. A mobile user device according to claim 24, further comprising:

means for using the corrected speech recognition in an e-mail message from mobile user device.

26. A mobile user device according to claim 24, further comprising:

means for using the corrected speech recognition result in a field force automation application.

27. A mobile user device according to claim 24, further comprising:

mean for using the corrected speech recognition result in a short messaging service (SMS) application.

28. A mobile user device according to claim 24, wherein the speech signal is a speech data file optimized for automatic speech recognition.

29. A mobile user device according to claim 24, wherein the speech signal is a distributed speech recognition (DSR) format stream of analyzed frames of speech data for automatic speech recognition.

30. A mobile user device according to claim 24, wherein the means for obtaining a user correction selection uses speech recognition of a user correction selection input.

31. A mobile user device according to claim 24, wherein the speech recognition results include a word lattice containing the alternate recognition hypotheses.

32. A mobile user device according to claim 24, wherein the speech recognition results include a recognition sausage containing the alternate recognition hypotheses.

33. A mobile user device according to claim 24, wherein the means for presenting selected alternate recognition hypotheses uses an instantaneous correction algorithm.

34. A mobile user device according to claim 24, wherein the means for presenting selected alternate recognition hypotheses uses a phone to letter algorithm.

35. A mobile user device according to claim 24, wherein the means for presenting selected alternate recognition hypotheses uses a phone to letter algorithm.