METHODS AND APPARATUSES FOR IDENTIFYING AUDIBLE SAMPLES FOR USE IN A SPEECH RECOGNITION CAPABILITY OF A MOBILE DEVICE

• US 20120016670A1
• Filed: 07/13/2010
• Published: 01/19/2012
• Est. Priority Date: 07/13/2010
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Khorashadi, Behrooz, Das, Saumitra Mohan
• Granted Patent: US 8,538,760 B2
• Time in Patent Office: Days
• US Class Current: 704/231
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: G10L 2015/221 Announcement of recognition results

Abstract

Techniques for provided which may be implemented using various methods and/or apparatuses in a mobile device to allow for speech recognition based, at least in part, on context information associated with at least a portion of at least one navigational region, e.g., associated with a location of the mobile device. A speech recognition capability may, for example, be provided with a set of audible samples based, at least in part, on the context information. Such speech recognition capability may be provided by the mobile device and/or by one or more other devices coupled to the mobile device.

Claims

1. A method comprising:

with a mobile device;

obtaining one or more electrical signals representing context information associated with at least a portion of at least one navigational region; and

identifying a set of audible samples for use by a speech recognition capability based, at least in part, on said context information.

2. The method as recited in claim 1, further comprising:

with said mobile device;

obtaining one or more electrical signals representing a speech sample;

identifying a user input via said speech recognition capability using said speech sample and said set of audible samples.

3. The method as recited in claim 2, further comprising:

with said mobile device;

in response to said user input, affecting an operation of at least one process within said mobile device.

4. The method as recited in claim 3, wherein said at least one process comprises a location or navigation process.

5. The method as recited in claim 1, wherein identifying said set of audible samples further comprises:

reducing an initial set of audible samples based, at least in part, on said context information.

6. The method as recited in claim 1, wherein said at least one navigational region is associated with an estimated location of said mobile device.

7. The method as recited in claim 1, wherein said at least one navigational region comprises at least one of:

at least a portion of a structure, or at least a portion of an item of interest.

8. The method as recited in claim 1, wherein said context information comprises at least one identifier being associated with one or more audible phrases comprising one or more audible samples.

9. The method as recited in claim 1, wherein said context information comprises a plurality of informational layers associated with at least said portion of said at least one navigational region.

10. The method as recited in claim 9, wherein said set of audible samples comprises at least one subset of audible samples associated with at least one of said plurality of informational layers.

11. The method as recited in claim 8, wherein said at least one identifier is associated with at least one of:

at least a portion of a structure, or at least a portion of an item of interest.

12. The method as recited in claim 1, wherein obtaining said context information further comprises:

receiving said context information from at least one of;

a location based service, or a remote device.

13. The method as recited in claim 1, wherein obtaining said context information further comprises:

obtaining map information associated with at least said portion of said at least one navigational region; and

extracting said context information based, at least in part, on said map information.

14. The method as recited in claim 1, wherein at least one of said set of audible samples corresponds to at least one grammar, and/or said context information comprises at least one grammar.

15. An apparatus for use in a mobile device, the apparatus comprising:

means for obtaining context information associated with at least a portion of at least one navigational region; and

means for identifying a set of audible samples for use by a speech recognition capability based, at least in part, on said context information.

16. The apparatus as recited in claim 15, further comprising:

means for obtaining a speech sample;

means for identifying a user input based, at least in part, on information resulting from said speech recognition capability using said speech sample and said set of audible samples.

17. The apparatus as recited in claim 16, further comprising:

means for affecting an operation of at least one process within said mobile device in response to said user input.

18. The apparatus as recited in claim 17, wherein said at least one process comprises a location or navigation process.

19. The apparatus as recited in claim 15, further comprising:

means for reducing an initial set of audible samples based, at least in part, on said context information.

20. The apparatus as recited in claim 15, wherein said at least one navigational region is associated with an estimated location of said mobile device.

21. The apparatus as recited in claim 15, wherein said at least one navigational region comprises at least one of:

at least a portion of a structure, or at least a portion of an item of interest.

22. The apparatus as recited in claim 15, wherein said context information comprises at least one identifier being associated with one or more audible phrases comprising one or more audible samples.

23. The apparatus as recited in claim 15, wherein said context information comprises a plurality of informational layers associated with at least said portion of said at least one navigational region.

24. The apparatus as recited in claim 23, wherein said set of audible samples comprises at least one subset of audible samples associated with at least one of said plurality of informational layers.

25. The apparatus as recited in claim 22, wherein said at least one identifier is associated with at least one of:

at least a portion of a structure, or at least a portion of an item of interest.

26. The apparatus as recited in claim 15, further comprising:

means for receiving said context information from at least one of;

a location based service, or a remote device.

27. The apparatus as recited in claim 15, further comprising:

means for obtaining map information associated with at least said portion of said at least one navigational region; and

means for extracting said context information based, at least in part, on said map information.

28. The apparatus as recited in claim 15, wherein at least one of said set of audible samples corresponds to at least one grammar, and/or said context information comprises at least one grammar.

29. An apparatus for use in a mobile device, the apparatus comprising:

memory;

at least one processing unit to obtain context information associated with at least a portion of at least one navigational region, and identify a set of audible samples in said memory for use by a speech recognition capability based, at least in part, on said context information.

30. The apparatus as recited in claim 29, further comprising:

a microphone; and

wherein said at least one processing unit to further access a speech sample obtained via said microphone, and identify a user input based, at least in part, on information resulting from said speech recognition capability using said speech sample and said set of audible samples.

31. The apparatus as recited in claim 30, wherein said at least one processing unit to further affect an operation of at least one process within said mobile device in response to said user input.

32. The apparatus as recited in claim 31, wherein said at least one process comprises a location or navigation process.

33. The apparatus as recited in claim 29, wherein said at least one processing unit to further reduce an initial set of audible samples based, at least in part, on said context information.

34. The apparatus as recited in claim 29, wherein said at least one navigational region is associated with an estimated location of said mobile device.

35. The apparatus as recited in claim 29, wherein said at least one navigational region comprises at least one of:

at least a portion of a structure, or at least a portion of an item of interest.

36. The apparatus as recited in claim 29, wherein said context information comprises at least one identifier being associated with one or more audible phrases comprising one or more audible samples.

37. The apparatus as recited in claim 29, wherein said context information comprises a plurality of informational layers associated with at least said portion of said at least one navigational region.

38. The apparatus as recited in claim 37, wherein said set of audible samples comprises at least one subset of audible samples associated with at least one of said plurality of informational layers.

39. The apparatus as recited in claim 36, wherein said at least one identifier is associated with at least one of:

at least a portion of a structure, or at least a portion of an item of interest.

40. The apparatus as recited in claim 29, further comprising:

a network interface; and

wherein said at least one processing unit to further obtain said context information via said network interface from at least one of;

a location based service, or a remote device.

41. The apparatus as recited in claim 29, wherein said at least one processing unit to further obtain map information associated with at least said portion of said at least one navigational region, and identify said context information based, at least in part, on said map information.

42. The apparatus as recited in claim 29, wherein at least one of said set of audible samples corresponds to at least one grammar, and/or said context information comprises at least one grammar.

43. An article comprising:

a computer readable medium having stored therein computer implementable instructions executable by one or more processing units of a mobile device to;

obtain context information associated with at least a portion of at least one navigational region; and

extract a set of audible samples for use by a speech recognition capability based, at least in part, on said context information.

44. The article as recited in claim 43, wherein said computer implementable instructions are further executable by said one or more processing units to:

identify a user input based, at least in part, on information resulting from said speech recognition capability using a speech sample and said set of audible samples.

45. The article as recited in claim 44, wherein said computer implementable instructions are further executable by said one or more processing units to:

affect an operation of at least one process within said mobile device in response to said user input.

46. The article as recited in claim 45, wherein said at least one process comprises a location or navigation process.

47. The article as recited in claim 43, wherein said computer implementable instructions are further executable by said one or more processing units to:

reduce an initial set of audible samples based, at least in part, on said context information.

48. The article as recited in claim 43, wherein said at least one navigational region is associated with an estimated location of said mobile device.

49. The article as recited in claim 43, wherein said at least one navigational region comprises at least one of:

at least a portion of a structure, or at least a portion of an item of interest.

50. The article as recited in claim 43, wherein said context information comprises at least one identifier being associated with one or more audible phrases comprising one or more audible samples.

51. The article as recited in claim 43, wherein said context information comprises a plurality of informational layers associated with at least said portion of said at least one navigational region.

52. The article as recited in claim 51, wherein said set of audible samples comprises at least one subset of audible samples associated with at least one of said plurality of informational layers.

53. The article as recited in claim 50, wherein said at least one identifier is associated with at least one of:

at least a portion of a structure, or at least a portion of an item of interest.

54. The article as recited in claim 43, wherein said context information is obtained from at least one of:

a location based service, or a remote device.

55. The article as recited in claim 43, wherein said computer implementable instructions are further executable by said one or more processing units to:

access map information associated with at least said portion of said at least one navigational region; and

extract said context information based, at least in part, on said map information.

56. The article as recited in claim 43, wherein at least one of said set of audible samples corresponds to at least one grammar, and/or said context information comprises at least one grammar.