Speech coding system with time-domain noise attenuation

• US 7,020,605 B2
• Filed: 02/13/2001
• Issued: 03/28/2006
• Est. Priority Date: 09/15/2000
• Status: Expired due to Term

• Current Assignee: MACOM Technology Solutions Holdings, Inc.
• Original Assignee: Mindspeed Technologies Inc. (MACOM Technology Solutions Holdings, Inc.)
• Inventors: Gao, Yang
• Primary Examiner(s): Young, W. R.
• Assistant Examiner(s): Opsasnick, Michael N.
• Application Number:
  US09/782,791
• Publication Number:
  US 20020035470A1
• Time in Patent Office: 1,869 Days
• Field of Search: 704225-228, 704/233
• US Class Current: 704/225
• CPC Class Codes: G10L 19/083 the excitation function being an excitation gain G10L25/90 takes precedence
• CPC Class Codes: G10L 19/12 the excitation function being a code excitation, e.g. in code excited linear prediction [CELP] vocoders
• CPC Class Codes: G10L 21/0208 Noise filtering
• CPC Class Codes: G10L 21/0364 for improving intelligibility

Abstract

A speech coding system is provided with time-domain noise attenuation. The speech coding system has an encoder operatively connected to a decoder via a communication medium. A preprocessor processes a digitized speech signal from an analog-to-digital converter. Speech coding systems are used to encode and decode a bitstream. Gains from the speech coding are adjusted by a gain factor Gf that provides time-domain background noise attenuation.

Claims

1. A speech coding system comprising:

a preprocessor configured to receive a digitized signal from an analog-to-digital converter in time-domain, the preprocessor configured to transform the digital signal into frequency-domain, modify spectral magnitudes of the digitized signal in frequency-domain to generate a noise-reduced digitized signal and transform the noise-reduced digitized signal back to time-domain;

an encoder disposed to receive the noise-reduced digitized signal in time-domain, the encoder to provide a bitstream based upon a speech coding of the noise-reduced digitized signal;

where the speech coding determines at least one gain scaling a portion of the noise-reduced digitized signal; and

where the encoder adjusts the at least one gain as a function of noise characteristic for attenuating background noise in at least one frame,

wherein the at least one gain is adjusted according to a gain factor, the gain factor facilitating time-domain background noise attenuation.

2. The system according to claim 1, where the speech coding comprises code excited linear prediction (CELP).

3. The system according to claim 1, where the speech coding comprises extended code excited linear prediction (eX-CELP).

4. The system according to claim 1, where the at least one gain is adjusted prior to quantization by the speech coding.

5. The system according to claim 1, where the portion of the digitized signal is one of a frame, a sub-frame, and a half frame.

6. The system according to claim 1, where the encoder comprises a digital signal processing (DSP) chip.

7. The system according to claim 1, further comprising a decoder operatively connected to receive the bitstream from the encoder, the decoder to provide a reconstructed signal based upon the bitstream.

8. The system according to claim 1, where the encoder adjusts the at least one gain according to the gain factor.

9. The system according to claim 8, where the gain factor Gf is determined by the equation,

Gf=1−

C·

NSR

where NSR has a value of about 1 when the portion comprises essentially background noise, where NSR is the square root of background noise energy divided by signal energy when the portion comprises speech, and where C is in the range of 0 through 1.

10. The system according to claim 9, where C is in the range of about 0.4 through about 0.6.

11. The system according to claim 9, further comprising a voice activity detector (VAD) operatively connected to the encoder, the VAD to determine when the portion comprises speech.

12. The system according to claim 8, where the gain factor is based on a running mean.

13. The system according to claim 12, where the running mean Gf new is determined by the equation,

Gf_new=α

·

Gf_old+(1−

α

)·

Gf_current

where Gf_old is a preceding gain factor for a preceding portion of the digitized signal, where Gf_current is the gain factor based on the portion of the digitized signal, and where 0≦

α

<

1.

14. The system according to claim 13, where α

is equal to about 0.5.

15. A speech coding system comprising:

a decoder disposed to receive a bitstream, the decoder to provide a reconstructed signal based upon a speech decoding of the bitstream;

where the speech decoding determines at least one gain scaling a portion of the reconstructed signal wherein the decoder adjusts the at least one gain as a function of noise characteristic for attenuating background noise in at least one frame and generating a background noise attenuated signal, and wherein the at least one gain is adjusted according to a gain factor, the gain factor facilitating time-domain background noise attenuation; and

a postprocessor configured to receive the background noise attenuated signal in time-domain, the postprocessor configured to transform the background noise attenuated signal into frequency-domain, modify spectral magnitudes of the background noise attenuated signal in frequency-domain to generate a noise-reduced attenuated signal and transform the noise-reduced attenuated signal back to time-domain.

16. The system according to claim 15, where the speech decoding comprises code excited linear prediction (CELP).

17. The system according to claim 15, where the speech decoding comprises extended code excited linear prediction (eX-CELP).

18. The system according to claim 15, where the at least one gain is adjusted after decoding by the speech decoding.

19. The system according to claim 15, where the portion of the reconstructed signal is one of a frame, a sub-frame, and a half frame.

20. The system according to claim 15, where the decoder comprises a digital signal processing (DSP) chip.

21. The system according to claim 15, further comprising an encoder operatively connected to provide the bitstream to the decoder.

22. The system according to claim 15, where the decoder adjusts the at least one gain according to the gain factor.

23. The system according to claim 22, where the gain factor Gf is determined by the equation,

Gf=1−

C·

NSR

where NSR has a value of about 1 when the portion comprises essentially background noise, where NSR is the square root of background noise energy divided by signal energy when the portion comprises speech, and where C is in the range of 0 through 1.

24. The system according to claim 23, where C is in the range of about 0.4 through about 0.6.

25. The system according to claim 23, further comprising a voice activity detector (VAD) operatively connected to the decoder, the VAD to determine when the portion comprises speech.

26. The system according to claim 22, where the gain factor is based on a running mean.

27. The system according to claim 26, where the running mean Gf_new is determined by the equation,

Gf_new=α

·

Gf_old+(1−

α

)·

Gf_current

where Gf_old is a preceding gain factor for a preceding portion of the reconstructed signal, where Gf_current is the gain factor based on the portion of the reconstructed signal, and where 0≦

α

<

1.

28. The system according to claim 27, where α

is equal to about 0.5.

29. A speech coding system comprising:

a preprocessor configured to receive a digitized signal from an analog-to-digital converter in time-domain, the preprocessor configured to transform the digital signal into frequency-domain, modify spectral magnitudes of the digitized signal in frequency-domain to generate a noise-reduced digitized signal and transform the noise-reduced digitized signal back to time-domain;

an encoder disposed to receive a the noise-reduced digitized signal, the encoder to provide a bitstream based upon a speech coding of the noise-reduced digitized signal, where the speech coding determines at least one gain scaling a portion of the digitized signal, and where the encoder adjusts the at least one gain as a function of noise characteristic; and

a decoder operatively connected to receive the bitstream from the encoder, where the decoder provides a reconstructed signal based upon a speech decoding of the bitstream, where the speech decoding reconstructs the at least one gain scaling the portion of the digitized signal, and where the decoder adjusts the at least one gain as a function of noise characteristic for attenuating background noise in at least one frame and generating a background noise attenuated signal, wherein the at least one gain is adjusted according to a gain factor, the gain factor facilitating time-domain background noise attenuation.

30. The system according to claim 29, where the speech coding and the speech decoding comprise code excited linear prediction (CELP).

31. The system according to claim 29, where the speech coding and the speech decoding comprise extended code excited linear prediction (eX-CELP).

32. The system according to claim 29, where at least one of the encoder and the decoder adjusts the at least one gain.

33. The system according to claim 29, where the portion of the digitized signal is one of a frame, a sub-frame, and a half frame.

34. The system according to claim 29, further comprising:

a postprocessor configured to receive the background noise attenuated signal in time-domain, the postprocessor configured to transform the background noise attenuated signal into frequency-domain, modify spectral magnitudes of the background noise attenuated signal in frequency-domain to generate a noise-reduced attenuated signal and transform the noise-reduced attenuated signal back to time-domain.

35. The system according to claim 29, where at least one of the encoder and the decoder comprises a digital signal processing (DSP) chip.

36. The system according to claim 29, where at least one of the encoder and the decoder adjusts the gain according to a gain factor.

37. The system according to claim 36, where the gain factor Gf is determined by the equation,

Gf=1−

C·

NSR

where NSR has a value of about 1 when the portion comprises essentially background noise, where NSR is the square root of background noise energy divided by signal energy when the portion comprises speech, and where C is in the range of 0 through 1.

38. The system according to claim 37, where C is in the range of about 0.4 through about 0.6 when one of the encoder and the decoder adjusts the gain by the gain factor.

39. The system according to claim 37, where C is in the range of about 0.2 though about 0.4 when the encoder and the decoder adjust the gain by the gain factor.

40. The system according to claim 37, further comprising a voice activity detector (VAD) operatively connected to at least one of the encoder and the decoder, the VAD to determine when the portion comprises speech.

41. The system according to claim 36, where the gain factor is based on a running mean.

42. The system according to claim 41, where the running mean Gf_new is determined by the equation,

Gf_new=α

·

Gf_old+(1−

α

)·

Gf_current

where Gf_old is a preceding gain factor for a preceding portion of the digitized signal, where Gf_current is the gain factor based on the portion of the digitized signal, and where 0≦

α

<

0.

43. The system according to claim 42, where α

is equal to about 0.5.

44. A method of speech coding comprising:

receiving a digitized signal in time-domain;

transforming the digital signal into frequency-domain;

modifying spectral magnitudes of the digitized signal in frequency-domain to generate a noise-reduced digitized signal;

transforming the noise-reduced digitized signal back to time-domain;

segmenting the noise-reduced digitized signal into at least one portion;

determining at least one gain scaling the noise-reduced digitized signal within the one portion;

adjusting the at least one gain as a function of noise characteristic; and

quantizing the at least one gain into a group of at least one bit for a bitstream,

where the at least one gain is adjusted as a function of noise characteristic for attenuating background noise in at least one frame,

wherein the at least one gain is adjusted according to a gain factor, the gain factor facilitating time-domain background noise attenuation.

45. The method of claim 44, where the portion is one of a frame, a sub-frame, and a half frame.

46. The method of claim 44, where the speech coding system comprises code excited linear prediction (CELP).

47. The method of claim 44, where the speech coding system comprises extended code excited linear prediction (eX-CELP).

48. The method of claim 44, where the adjusting further comprises adjusting the at least one gain according to the gain factor.

49. The method of claim 48, where the gain factor Gf is determined by the equation

Gf=1−

C·

NSR

where NSR has a value of about 1 when the portion comprises essentially background noise, where NSR is the square root of background noise energy divided by signal energy when the portion comprises speech, and where C is in the range of 0 through 1.

50. The method of claim 48, where the gain factor is based on a running mean.

51. The method of claim 50, where the running mean Gf_new is determined by the equation,

Gf_new=α

·

Gf_old+(1−

α

)·

Gf_current

where Gf_old is a preceding gain factor for a preceding portion of the digitized signal, where Gf_current is the gain factor based on the portion of the digitized signal, and where 0≦

α

<

1.

52. The method of claim 51, where α

is equal to about 0.5.

53. A method of speech coding comprising:

decoding at least one gain from a group of at least one bit in a bitstream;

adjusting the at least one gain as a function of noise characteristic;

assembling the at least one gain into a portion of a reconstructed speech signal, where the at least one gain is adjusted as a function of noise characteristic for attenuating background noise in at least one frame and generating a background noise attenuated signal in time-domain, and wherein the at least one gain is adjusted according to a gain factor, the gain factor facilitating time-domain background noise attenuation;

transforming the background noise attenuated signal into frequency-domain;

modifying spectral magnitudes of the background noise attenuated signal in frequency-domain to generate a noise-reduced attenuated signal; and

transforming the noise-reduced attenuated signal back to time-domain.

54. The method of claim 53, where the speech coding system comprises code excited linear prediction (CELP).

55. The method of claim 53, where the speech coding system comprises extended code excited linear prediction (eX-CELP).

56. The method of claim 53, where the adjusting further comprises adjusting the at least one gain according to the gain factor.

57. The method of claim 56, where the gain factor Gf is determined by the equation

Gf=1−

C·

NSR

where NSR has a value of about 1 when the portion comprises essentially background noise, where NSR is the square root of background noise energy divided by signal energy when the portion comprises speech, and where C is in the range of 0 through 1.

58. The method of claim 56, where the gain factor is based on a running mean.

59. The method of claim 58, where the running mean Gf_new is determined by the equation,

Gf_new=α

·

Gf_old+(1−

α

)·

Gf_current

where Gf_old is a preceding gain factor for a preceding portion of the digitized signal, where Gf_current is the gain factor based on the portion of the digitized signal, and where 0≦

α

<

1.

60. The method of claim 59, where α

is equal to about 0.5.

61. A method of speech coding comprising:

receiving a digitized signal in time-domain;

transforming the digital signal into frequency-domain;

modifying spectral magnitudes of the digitized signal in frequency-domain to generate a noise-reduced digitized signal;

transforming the noise-reduced digitized signal back to time-domain;

segmenting the noise-reduced digitized signal into at least one portion;

determining at least one gain representing the noise-reduced digitized signal within the one portion;

pre-adjusting the at least one gain as a function of noise characteristic;

quantizing the at least one gain into a group of at least one bit for a bitstream.

decoding the at least one gain from the group of at least one bit in the bitstream;

post-adjusting the at least one gain as a function of noise characteristic; and

assembling the at least one gain into a reconstructed speech signal,

where the at least one gain is adjusted as a function of noise characteristic for attenuating background noise in at least one frame,

wherein the at least one gain is adjusted according to a gain factor, the gain factor facilitating time-domain background noise attenuation.

62. The method of claim 61, where the speech coding system comprises code excited linear prediction (CELP).

63. The method of claim 61, where the speech coding system comprises extended code excited linear prediction (eX-CELP).

64. The method of claim 61, where at least one of the pre-adjusting and the post-adjusting further comprises adjusting the at least one gain according to the gain factor.

65. The method of claim 64, where the gain factor Gf is determined by the equation

Gf=1−

C·

NSR

where NSR has a value of about 1 when the portion comprises essentially background noise, where NSR is the square root of background noise energy divided by signal energy when the portion comprises speech, and where C is in the range of 0 through 1.

66. The method of claim 64, where the gain factor is based on a running mean.

67. The method of claim 66, where the running mean Gf_new is determined by the equation,

Gf_new=α

·

Gf_old+(1−

α

)·

Gf_current

where Gf_old is a preceding gain factor for a preceding portion of the digitized signal, where Gf_current is the gain factor based on the portion of the digitized signal, and where 0≦

α

<

0.

68. The method of claim 67, where α

is equal to about 0.5.