Controlling a weighting filter based on the spectral content of a speech signal

• US 7,010,480 B2
• Filed: 09/13/2001
• Issued: 03/07/2006
• 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, Su, Huan-Yu
• Primary Examiner(s): Young, W. R.
• Assistant Examiner(s): Jackson, Jakieda R
• Application Number:
  US09/953,470
• Publication Number:
  US 20020116182A1
• Time in Patent Office: 1,636 Days
• Field of Search: 704/218, 704/223, 704/200.1, 704/203, 704/205, 704/219
• US Class Current: 704/219
• CPC Class Codes: G10L 19/265 Pre-filtering, e.g. high frequency emphasis prior to encoding
• CPC Class Codes: G10L 21/0364 for improving intelligibility

Abstract

A method for preparing a speech signal for encoding comprises determining whether the spectral content of an input speech signal is representative of a defined spectral characteristic (e.g., a defined characteristic slope). A frequency specific filter component of a weighting filter is controlled based on the determination of the spectral content of the speech signal or/and its location in the encoder. A core weighting filter component of the weighting filter may be maintained regardless of the spectral content of the speech signal.

Claims

1. A method for preparing a speech signal for encoding, the method comprising:

providing a pitch pre-processing weighting filter including a core weighting filter component and a low-pass filter;

providing a fixed-codebook weighting filter including the core weighting filter component and a high-pass filter;

providing an adaptive-codebook weighting filter including the core weighting filter component;

determining whether a spectral content of the speech signal is representative of a defined spectral characteristic;

controlling said low-pass filter and said high-pass filter based on a determination of the spectral content of the speech signal.

2. The method according to claim 1 wherein the determining step comprises determining a defined spectral slope as the defined spectral characteristic.

3. The method according to claim 1 wherein the controlling step comprises activating the low-pass filter if the spectral content of the speech signal is consistent with a low frequency energy that falls below a low frequency energy threshold.

4. The method according to claim 1 wherein the controlling step comprises changing filter parameters of the low-pass filter to increase a contribution of the low-pass filter to a resultant spectral response of the pitch pre-processing weighting filter, if the spectral content of the speech signal is consistent with a low frequency energy that falls below a low frequency energy threshold.

5. The method according to claim 1 wherein the controlling step comprises controlling the high-pass filter in response to a detection or absence of at least one of unwanted background noise and a noisy speech component of the speech signal.

6. The method according to claim 1 wherein the controlling step comprises activating the high-pass filter in response to a detection of background noise or undesired noise that meets or exceeds a threshold magnitude level over a certain spectral range.

7. The method according to claim 1 wherein the controlling step comprises controlling filter parameters of the adaptive codebook weighting filter in response to the determination of the spectral content of the speech signal.

8. The method according to claim 1 wherein the core weighting filter component is expressed as the following equation:

W_A(z)=A(Z/γ

₁)/A(Z/γ

₂),

where 1/A(z) is an LPC synthesis filter response and γ

₁ and γ

₂ are constant coefficients.

9. The method according to claim 1 wherein a filter response for the pitch pre-processing weighting filter is expressed as the following equation:

W_A(z)=(1+α

Z<sup>−

1</sup>)A(Z/γ

₁)/A(Z/γ

₂),

where 1/A(z) is an LPC synthesis filter response, α

a is low-pass adaptive coefficient, and γ

₁ and γ

₂ are constant coefficients.

10. The method according to claim 9 wherein the low-pass adaptive coefficient has a value between 0 and 0.3, γ

₁ falls within a range between 0.9 and 0.97, and γ

₂ falls within a range between 0.4 and 0.6.

11. The method according to claim 1 wherein a filter response for the pitch pre-processing weighting filter is expressed as the following equation:

W_A(z)=(1+α

Z<sup>−

1</sup>)A(Z/γ

₁)/A(Z/γ

₂),

where 1/A(z) is an LPC synthesis filter response, α

is a low-pass adaptive coefficient, and γ

₁ and γ

₂ are adaptive coefficients.

12. The method according to claim 11 wherein the low-pass adaptive coefficient has a value between 0 and 0.3, γ

₁ falls within a range between 0.9 and 0.97, and γ

₂ falls within a range between 0.4 and 0.6.

13. The method according to claim 1 wherein a filter response for the fixed-codebook weighting filter is expressed as the following equation:

W_C(z)=(1−

μ

Z<sup>−

1</sup>) A(Z/γ

₁)/A(Z/γ

₂),

where 1/A (z) is an LPC synthesis filter response, μ

is a high-pass adaptive coefficient, and γ

₁ and γ

₂ are constant coefficients.

14. The method according to claim 13 wherein the high-pass adaptive coefficient has a value between 0 and 0.5, γ

₁ falls within a range between 0.9 and 0.97, and γ

₂ falls within a range between 0.4 and 0.6.

15. The method according to claim 1 wherein a filter response for the fixed-codebook weighting filter is expressed as the following equation:

W_C(z)=(1−

μ

Z<sup>−

1</sup>) A(Z/γ

₁)/A(Z/γ

₂),

where 1/A (z) is an LPC synthesis filter response, μ

is a high-pass adaptive coefficient, and γ

₁ and γ

₂ are adaptive coefficients.

16. The method according to claim 15 wherein the first adaptive coefficient has a value between 0 and 0.5, γ

₁ falls within a range between 0.9 and 0.97, and γ

₂ falls within a range between 0.4 and 0.6.

17. An encoder for encoding a speech signal, the encoder comprising:

a pitch pre-processing weighting filter including a core weighting filter component and a low-pass filter;

a fixed-codebook weighting filter including the core weighting filter component and a high-pass filter;

an adaptive-codebook weighting filter the core weighting filter component;

a spectral detector for determining whether a spectral content of the speech signal is representative of a defined spectral characteristic;

a controller adapted to control said low-pass filter and said high-pass filter based on a determination of the spectral content of the speech signal.

18. The encoder according to claim 17 wherein the controller activates the low-pass filter in response to a determination that a low frequency energy of the speech signal falls below a low frequency energy threshold.

19. The encoder according to claim 17 wherein the controller activates the high-pass filter in response to a detection of a background noise that meets or exceeds a magnitude level over a certain spectral range.

20. The encoder according to claim 17 wherein the controller controls filter parameters of the adaptive codebook weighting filter in response to the determination of the spectral content of the speech signal.

21. The encoder according to claim 17 wherein the core weighting filter component is expressed as the following equation:

W_A(z)=A(Z/γ

₁)/A(Z/γ

2),

where 1/A(z) is an LPC synthesis filter response and γ

₁ and γ

₂ are constant coefficients.

22. The encoder according to claim 17 wherein a filter response for the pitch pre-processing weighting filter is expressed as the following equation:

W_A(z)=(1α

Z<sup>−

1</sup>) A(Z/γ

₁)/A(Z/γ

₂),

where 1/A(z) is an LPC synthesis filter response, α

is a low-pass adaptive coefficient, and γ

₁ and γ

₂ are constant coefficients.

23. The encoder according to claim 22 wherein the low-pass adaptive coefficient has a value between 0 and 0.3, γ

₁ falls within a range between 0.9 and 0.97, and γ

₂ falls within a range between 0.4 and 0.6.

24. The encoder according to claim 17 wherein a filter response for the pitch pre-processing weighting filter is expressed as the following equation:

W_A(z)=(1α

Z<sup>−

1</sup>) A(Z/γ

₁)/A(Z/γ

₂),

where 1/A(z) is an LPC synthesis filter response, α

is a low-pass adaptive coefficient, and γ

₁ and γ

₂ are adaptive coefficients.

25. The encoder according to claim 24 wherein the low-pass adaptive coefficient has a value between 0 and 0.3, γ

₁ falls within a range between 0.9 and 0.97, and γ

₂ falls within a range between 0.4 and 0.6.

26. The encoder according to claim 17 wherein a filter response for the fixed-codebook weighting filter is expressed as the following equation:

W_C(z)=(1−

μ

Z<sup>−

1</sup>) A(Z/γ

₁)/A(Z/γ

₂),

where 1/A (z) is an LPC synthesis filter response, μ

is a high-pass adaptive coefficient, and γ

₁ and γ

₂ are constant coefficients.

27. The encoder according to claim 26 wherein the high-pass adaptive coefficient has a value between 0 and 0.5, γ

₁ falls within a range between 0.9 and 0.97, and γ

₂ falls within a range between 0.4 and 0.6.

28. The encoder according to claim 17 wherein a filter response for the fixed-codebook weighting filter is expressed as the following equation:

W_C(z)=(1−

μ

Z<sup>−

1</sup>) A(Z/γ

₁)/A(Z/γ

₂),

where 1/A (z) is an LPC synthesis filter response, μ

is a high-pass adaptive coefficient, and γ

₁ and γ

₂ are adaptive coefficients.

29. The encoder according to claim 28 wherein the first adaptive coefficient has a value between 0 and 0.5, γ

₁ falls within a range between 0.9 and 0.97, and γ

₂ falls within a range between 0.4 and 0.6.