Interoperable vocoder

• US 7,970,606 B2
• Filed: 11/13/2002
• Issued: 06/28/2011
• Est. Priority Date: 11/13/2002
• Status: Active Grant

• Current Assignee: Digital Voice Systems, Inc.
• Original Assignee: Digital Voice Systems, Inc.
• Inventors: Hardwick, John C.
• Primary Examiner(s): Armstrong; Angela A
• Application Number:
  US10/292,460
• Publication Number:
  US 20040093206A1
• Time in Patent Office: 3,149 Days
• Field of Search: 704207-208, 704221-22223
• US Class Current: 704/221
• CPC Class Codes: G10L 19/087 using mixed excitation models, e.g. MELP, MBE, split band LPC or HVXC

Abstract

Encoding a sequence of digital speech samples into a bit stream includes dividing the digital speech samples into one or more frames and computing a set of model parameters for the frames. The set of model parameters includes at least a first parameter conveying pitch information. The voicing state of a frame is determined and the first parameter conveying pitch information is modified to designate the determined voicing state of the frame, if the determined voicing state of the frame is equal to one of a set of reserved voicing states. The model parameters are quantized to generate quantizer bits which are used to produce the bit stream.

Claims

1. A method of encoding a sequence of digital speech samples into a bit stream, the method comprising:

dividing the digital speech samples into one or more frames;

computing model parameters for multiple frames, the model parameters including at least a first parameter conveying pitch information;

determining the voicing state of a frame;

modifying the first parameter conveying pitch information to designate the determined voicing state of the frame if the determined voicing state of the frame is equal to one of a set of multiple reserved voicing states; and

quantizing the model parameters to generate quantizer bits which are used to produce the bit stream.

2. The method of claim 1 wherein the model parameters further include one or more spectral parameters determining spectral magnitude information.

3. The method of claim 1 wherein:

the voicing state of a frame is determined for multiple frequency bands, and the model parameters further include one or more voicing parameters that designate the determined voicing state in the multiple frequency bands.

4. The method of claim 3 wherein the voicing parameters designate the voicing state in each frequency band as either voiced, unvoiced or pulsed.

5. The method of claim 4 wherein the set of reserved voicing states correspond to voicing states where no frequency band is designated as voiced.

6. The method of claim 3 wherein the voicing parameters are set to designate all frequency bands as unvoiced if the determined voicing state of the frame is equal to one of a set of reserved voicing states.

7. The method of claim 4 wherein the voicing parameters are set to designate all frequency bands as unvoiced, if the determined voicing state of the frame is equal to one of a set of reserved voicing states.

8. The method of claim 5 wherein the voicing parameters are set to designate all frequency bands as unvoiced, if the determined voicing state of the frame is equal to one of a set of reserved voicing states.

9. The method of claim 6 wherein producing the bit stream includes applying error correction coding to the quantizer bits.

10. The method of claim 9 wherein the produced bit stream is interoperable with a standard vocoder used for APCO Project 25.

11. The method of claim 3 wherein determining the voicing state of the frame includes setting the voicing state to unvoiced in all frequency bands if the frame corresponds to background noise rather than to voice activity.

12. The method of claim 4 wherein determining the voicing state of the frame includes setting the voicing state to unvoiced in all frequency bands if the frame corresponds to background noise rather than to voice activity.

13. The method of claim 5 wherein determining the voicing state of the frame includes setting the voicing state to unvoiced in all frequency bands if the frame corresponds to background noise rather than to voice activity.

14. The method of claim 2 further comprising:

analyzing a frame of digital speech samples to detect tone signals, and

if a tone signal is detected, selecting the set of model parameters for the frame to represent the detected tone signal.

15. The method of claim 14 wherein the detected tone signals include DTMF tone signals.

16. The method of claim 14 wherein selecting the set of model parameters to represent the detected tone signal includes selecting the spectral parameters to represent the amplitude of the detected tone signal.

17. The method of claim 14 wherein selecting the set of model parameters to represent the detected tone signal includes selecting the first parameter conveying pitch information based at least in part on the frequency of the detected tone signal.

18. The method of claim 16 wherein selecting the set of model parameters to represent the detected tone signal includes selecting the first parameter conveying pitch information based at least in part on the frequency of the detected tone signal.

19. The method of claim 6 wherein the spectral parameters that determine spectral magnitude information for the frame include a set of spectral magnitude parameters computed around harmonics of a fundamental frequency determined from the first parameter conveying pitch information.

20. A method of encoding a sequence of digital speech samples into a bit stream, the method comprising:

dividing the digital speech samples into one or more frames;

determining whether the digital speech samples for a frame correspond to a tone signal; and

computing model parameters for multiple frames, the model parameters including at least a first parameter representing the pitch and spectral parameters representing the spectral magnitude at harmonic multiples of the pitch;

if the digital speech samples for a frame are determined to correspond to a tone signal, assigning values to the pitch parameter and the spectral parameters to approximate the detected tone signal; and

quantizing the model parameters, including the pitch parameter and the spectral parameters to which values are assigned to approximate the detected tone signal if the digital speech samples for the frame are determined to correspond to the tone signal, to generate quantizer bits which are used to produce the bit stream.

21. The method of claim 20 wherein the set of model parameters further include one or more voicing parameters that designate the voicing state in multiple frequency bands.

22. The method of claim 21 wherein the first parameter representing the pitch is the fundamental frequency.

23. The method of claim 21 wherein the voicing state is designated as either voiced, unvoiced or pulsed in each of the frequency bands.

24. The method of claim 22 wherein producing the bit stream includes applying error correction coding to the quantizer bits.

25. The method of claim 21 wherein the produced bit stream is interoperable with the standard vocoder used for APCO Project 25.

26. The method of claim 24 wherein the produced bit stream is interoperable with the standard vocoder used for APCO Project 25.

27. The method of claim 21 wherein determining the voicing state of the frame includes setting the voicing state to unvoiced in all frequency bands if the frame corresponds to background noise rather than to voice activity.

28. A method of decoding digital speech samples from a sequence of bits, the method comprising:

dividing the sequence of bits into individual frames, each frame containing multiple bits;

forming quantizer values from a frame of bits, the formed quantizer values including at least a first quantizer value representing the pitch and a second quantizer value representing the voicing state;

determining if the first and second quantizer values belong to a set of multiple reserved quantizer values;

reconstructing speech model parameters for a frame from the quantizer values, the speech model parameters representing the voicing state of the frame being reconstructed from the first quantizer value representing the pitch if the first and second quantizer values are determined to belong to the set of reserved quantizer values; and

computing a set of digital speech samples from the reconstructed speech model parameters.

29. The method of claim 28 wherein the reconstructed speech model parameters for a frame also include a pitch parameter and one or more spectral parameters representing the spectral magnitude information for the frame.

30. The method of claim 29 wherein a frame is divided into frequency bands and the reconstructed speech model parameters representing the voicing state of a frame designate the voicing state in each of the frequency bands.

31. The method of claim 30 wherein the voicing state in each frequency band is designated as either voiced, unvoiced or pulsed.

32. The method of claim 30 wherein the bandwidth of one or more of the frequency bands is related to the pitch frequency.

33. The method of claim 31 wherein the bandwidth of one or more of the frequency bands is related to the pitch frequency.

34. The method of claim 28 wherein the first and second quantizer values are determined to belong to the set of reserved quantizer values only if the second quantizer value equals a known value.

35. The method of claim 34 wherein the known value is the value designating all frequency bands as unvoiced.

36. The method of claim 34 wherein the first and second quantizer values are determined to belong to the set of reserved quantizer values only if the first quantizer value equals one of several permissible values.

37. The method of claim 30 wherein the voicing state in each frequency band is not designated as voiced if the first and second quantizer values are determined to belong to the set of reserved quantizer values.

38. The method of claim 28 wherein forming the quantizer values from a frame of bits includes performing error decoding on the frame of bits.

39. The method of claim 30 wherein the sequence of bits is produced by a speech encoder which is interoperable with the APCO Project 25 vocoder standard.

40. The method of claim 38 wherein the sequence of bits is produced by a speech encoder which is interoperable with the APCO Project 25 vocoder standard.

41. The method of claim 29 further comprising modifying the reconstructed spectral parameters if the reconstructed speech model parameters for a frame are determined to correspond to a tone signal.

42. The method of claim 41 wherein modifying of the reconstructed spectral parameters includes attenuating certain undesired frequency components.

43. The method of claim 41 wherein the reconstructed model parameters for a frame are determined to correspond to a tone signal only if the first quantizer value and the second quantizer value are equal to certain known tone quantizer values.

44. The method of claim 41 wherein the reconstructed model parameters for a frame are determined to correspond to a tone signal only if the spectral magnitude information for a frame indicates dominant frequency components.

45. The method of claim 43 wherein the reconstructed model parameters for a frame are determined to correspond to a tone signal only if the spectral magnitude information for a frame indicates dominant frequency components.

46. The method of claim 44 wherein the tone signals include DTMF tone signals which are determined only if the spectral magnitude information for a frame indicates two dominant frequency components occurring at or near the known DTMF frequencies.

47. The method of claim 32 wherein the spectral parameters representing the spectral magnitude information for the frame consist of a set of spectral magnitude parameters representing harmonics of a fundamental frequency determined from the reconstructed pitch parameter.

48. A method of decoding digital speech samples from a sequence of bits, the method comprising:

dividing the sequence of bits into individual frames that each contain multiple bits;

reconstructing speech model parameters from a frame of bits, the reconstructed speech model parameters for a frame including one or more spectral parameters representing the spectral magnitude information for the frame;

determining from the reconstructed speech model parameters whether the frame represents a tone signal;

modifying the spectral parameters if the frame represents a tone signal, such that the modified spectral parameters better represent the spectral magnitude information of the determined tone signal; and

generating digital speech samples from the reconstructed speech model parameters and the modified spectral parameters.

49. The method of claim 48 wherein the reconstructed speech model parameters for a frame also include a fundamental frequency parameter representing the pitch.

50. The method of claim 49 wherein the reconstructed speech model parameters for a frame also include voicing parameters that designate the voicing state in multiple frequency bands.

51. The method of claim 50 wherein the voicing state in each of the frequency bands is designated as either voiced, unvoiced or pulsed.

52. The method of claim 49 wherein the spectral parameters for the frame consist of a set of spectral magnitudes representing the spectral magnitude information at harmonics of the fundamental frequency parameter.

53. The method of claim 50 wherein the spectral parameters for the frame consist of a set of spectral magnitudes representing the spectral magnitude information at harmonics of the fundamental frequency parameter.

54. The method of claim 52 wherein modifying of the reconstructed spectral parameters includes attenuating the spectral magnitudes corresponding to harmonics which are not contained in the determined tone signal.

55. The method of claim 52 wherein the reconstructed speech model parameters for a frame are determined to correspond to a tone signal only if certain ones of the spectral magnitudes in the set of spectral magnitudes are dominant over all the other spectral magnitudes in the set.

56. The method of claim 55 wherein the tone signals include DTMF tone signals which are determined only if the set of spectral magnitudes contain two dominant frequency components occurring at or near the standard DTMF frequencies.

57. The method of claim 50 wherein the reconstructed speech model parameters for a frame are determined to correspond to a tone signal only if the fundamental frequency parameter and the voicing parameters are approximately equal to certain known values for the parameters.

58. The method of claim 55 wherein the sequence of bits is produced by a speech encoder which is interoperable with the APCO Project 25 vocoder standard.