Roaming user profiles for speech recognition

• US 20060095266A1
• Filed: 11/01/2005
• Published: 05/04/2006
• Est. Priority Date: 11/01/2004
• Status: Abandoned Application

• Current Assignee: Nuance Communications, Inc. (Microsoft Corporation)
• Original Assignee: Nuance Communications, Inc. (Microsoft Corporation)
• Inventors: Van Even, Stijn, Gold, Allan, McA'Nulty, Megan
• Application Number:
  US11/264,358
• Publication Number:
  US 20060095266A1
• Time in Patent Office: Days
• US Class Current: 704/270.1
• CPC Class Codes: G10L 15/30 Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
• CPC Class Codes: G10L 2015/228 of application context

Abstract

The invention relates to use of speech recognition on a computer network where users roam from one network location to another. A local workstation on the network includes a speech recognition application having a local user profile associated with an application user. The local user profile includes at least one synchronization file containing user-specific speech recognition data. A network file location remote from the local workstation contains a user master profile corresponding to the local user profile, including a copy of the local synchronization file.

Claims

1. A method of performing speech recognition on a computer network, the method comprising:

providing on a local workstation of a computer network a speech recognition application including a local user profile associated with an application user, the local user profile including at least one synchronization file containing user-specific speech recognition data;

providing at a network file location remote from the local workstation a user master profile corresponding to the local user profile and including a copy of the at least one synchronization file.

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

copying the local synchronization file to the master profile synchronization file.

3. A method according to claim 2, wherein the copying occurs at the end of a user session with the speech recognition application.

4. A method according to claim 2, wherein the copying occurs in response to a user command.

5. A method according to claim 2, wherein the copying occurs at regular periodic times.

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

at the beginning of a user session with the speech recognition application, merging the master profile synchronization file into the local user profile to modify a base recognition vocabulary at the local workstation to reflect user changes.

7. A method according to claim 6, wherein the merging includes replaying at least a portion of the master profile synchronization file into the local user profile to implement the user changes in the same order in which the user changes were originally made.

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

comparing the local synchronization file to the master profile synchronization file to determine when each was last modified; and

copying the more recently modified synchronization file to the other synchronization file.

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

copying data not in the local synchronization file from the local user profile to the master profile.

10. A method according to claim 9, wherein the data copied includes speech recognition acoustic data.

11. A method according to claim 10, wherein the speech recognition acoustic data includes data associated with user-correction of the speech recognition application.

12. A method according to claim 9, wherein the data copied includes a speech recognition acoustic model.

13. A method according to claim 1, wherein the synchronization file includes user-specific command data to modify a base command structure for the speech recognition application to reflect user-specific command changes.

14. A method according to claim 1, wherein the synchronization file includes user-specific vocabulary data to modify a base vocabulary structure for the speech recognition application to reflect user-specific vocabulary changes.

15. A method according to claim 1, wherein the synchronization file includes user-specific operating options for the speech recognition application.

16. A system adapted to use the method according to any of claims 1-15.