USING SPEECH RECOGNITION RESULTS BASED ON AN UNSTRUCTURED LANGUAGE MODEL WITH A MUSIC SYSTEM

• US 20090030698A1
• Filed: 08/01/2008
• Published: 01/29/2009
• Est. Priority Date: 03/07/2007
• Status: Active Grant

• Current Assignee: Nuance Communications, Inc. (Microsoft Corporation)
• Original Assignee: Nuance Communications, Inc. (Microsoft Corporation)
• Inventors: Phillips, Michael S., Nguyen, John N., Shu, Han, Cerra, Joseph P.
• Granted Patent: US 10,056,077 B2
• Time in Patent Office: Days
• US Class Current: 704/275
• CPC Class Codes: G10L 15/183 using context dependencies, e.g. language models
• CPC Class Codes: G10L 15/30 Distributed recognition, e.g. in client-server systems, for mobile phones or network applications

Abstract

Speech recorded by an audio capture facility of a music facility is processed by a speech recognition facility to generate results that are provided to the music facility. When information related to a music application running on the music facility are provided to the speech recognition facility, the results generated are based at least in part on the application related information. The speech recognition facility uses an unstructured language model for generating results. The user of the music facility may optionally be allowed to edit the results being provided to the music facility. The speech recognition facility may also adapt speech recognition based on usage of the results.

Claims

1. A method of entering text into a music system comprising:

recording speech presented by a user using a resident capture facility;

providing the recording to a speech recognition facility;

generating results utilizing the speech recognition facility using an unstructured language model based at least in part on the information relating to the recording; and

using the results in the music system.

2. The method of claim 1, further comprising using user feedback to adapt the unstructured language model.

3. The method of claim 1, wherein the speech recognition facility is remotely located from the music system.

4. The method of claim 1, wherein the music system provides information relating to the music application to the speech recognition facility and the generating results is based at least in part on this information.

5. The method of claim 4, wherein the information relating to the music application includes at least one of an identity of the application, an identity of a text box within the application, contextual information within the application, an identity of the music system, and an identity of the user.

6. The method of claim 5, wherein contextual information includes at least one of the usage history of the music application, information from a user'"'"'s favorites list or playlists, information about music currently stored on the music system, and information currently displayed in the music application.

7. The method of claim 4, wherein the step of generating the results based at least in part on the information relating to the music application involves selecting at least one of a plurality of recognition models based on the information relating to the music application and the recording.

8. The method of claim 4, wherein the speech recognition facility selects at least one language model based at least in part on the information relating to music system.

9. The method of claim 8, wherein the at least one selected language model is at least one of a general language model for artists, a general language models for song titles, and a general language model for music types.

10-20. -20. (canceled)

21. A method of entering text into a music system comprising:

recording speech presented by a user using a resident capture facility;

providing the recording to a speech recognition facility;

generating results utilizing the speech recognition facility using an unstructured language model based at least in part on the information relating to the recording;

allowing the user to alter the results; and

using the results in the music system.

22. The method of claim 21 wherein the speech recognition facility is remotely located from the music system.

23. The method of claim 21 wherein the music system provides information relating to the music application running on the music system to the speech recognition facility and the generating results is based at least in part on music related information.

24. The method of claim 21 wherein the step of allowing the user to alter the results includes the user editing a text result using at least one of a set of button or other controls, and a screen-based text correction mechanism on the music system.

25. The method of claim 21 wherein the step of allowing the user to alter the results includes the user selecting from among a plurality of alternate choices of words contained in the results from the speech recognition facility.

26. The method of claim 21 wherein the step of allowing the user to alter the results includes the user selecting from among a plurality of alternate actions related to the results from the speech recognition facility.

27-28. -28. (canceled)

29. A system of entering text into a music system comprising:

a resident capture facility for recording speech presented by a user;

a speech recognition facility for receiving the recording and for generating results using an unstructured language model based at least in part on the information relating to the recording; and

the music system for using the results.

30. The system of claim 29 wherein the speech recognition facility is remotely located from the music system.

31. The system of claim 29 wherein the speech recognition system generates the results based at least in part on information relating to a music application that is received from the music system.

32. The system of claim 31 wherein the information relating to the music application includes at least one of an identity of the application, an identity of a text box within the application, contextual information within the application, an identity of the music system, and an identity of the user.

33. The system of claim 32 wherein contextual information includes at least one of the usage history of the music application, information from a user'"'"'s favorites list or playlists, information about music currently stored on the music system, and information currently displayed in the music application.

34-41. -41. (canceled)