Digital filter design method and apparatus

• US 6,564,184 B1
• Filed: 09/06/2000
• Issued: 05/13/2003
• Est. Priority Date: 09/07/1999
• Status: Expired due to Term

• Current Assignee: Telefonaktiebolaget LM Ericsson
• Original Assignee: Telefonaktiebolaget LM Ericsson
• Inventors: Eriksson, Anders
• Primary Examiner(s): To, Doris H.
• Assistant Examiner(s): NOLAN, DANIEL A
• Application Number:
  US09/656,295
• Time in Patent Office: 979 Days
• Field of Search: 704/226, 704/230, 704/234, 704/270, 704/227, 704/228, 708/300, 708/310, 708/314, 708/323
• US Class Current: 704/226
• CPC Class Codes: G10L 21/0208 Noise filtering
• CPC Class Codes: H03H 17/02 Frequency selective networks digital computers for complex mathematical operations G06F17/10

Abstract

A digital filter design apparatus for noise suppression by spectral subtraction includes a first spectrum estimator for determining a high frequency resolution noisy speech power spectral density estimate from a noisy speech signal block. A second spectrum estimator determines a high frequency resolution background noise power spectral density estimate from a background noise signal block. Averaging units form a piece-wise constant noisy speech power spectral density estimate and a piece-wise constant background noise power spectral density estimate. These averaging units are controlled by devices for adapting the length of individual segments to the shape of the high frequency-resolution noisy speech power spectral density estimate and for using the same segmentation in both piecewise constant estimates. A piece-wise constant digital filter transfer function is determined using spectral subtraction-based on the piece-wise constant noisy speech power spectral density estimate and the piece-wise constant background noise power spectral density estimate.

Claims

1. A digital filter design method for noise suppression by spectral subtraction, including the steps of:

determining a high frequency-resolution noisy speech power spectral density estimate from a noisy speech signal block;

forming a piece-wise constant noisy speech power spectral density estimate by averaging power densities within frequency bin segments of said noisy speech high frequency-resolution power spectral density estimate;

determining a high frequency-resolution background noise power spectral density estimate from a background noise signal block;

forming a piece-wise constant background noise power spectral density estimate by averaging power densities within frequency bin segments of said high frequency-resolution background noise power spectral density estimate;

determining a piece-wise constant digital filter transfer function using spectral subtraction based on said piece-wise constant noisy speech power spectral density estimate and said piece-wise constant background noise power spectral density estimate;

wherein said step of forming a piece-wise constant noisy speech power spectral density estimate includes adapting the length of individual segments to the shape of said high frequency-resolution noisy speech power spectral density estimate; and

wherein said step of forming a piece-wise constant background noise power spectral density estimate includes using the same segments for both said high frequency-resolution noisy speech power spectral density estimate and said high frequency-resolution background noise power spectral density estimate.

2. The method of claim 1, including the step of centering segments on local maxima of said high frequency-resolution noisy speech power spectral density estimate.

3. The method of claim 2, including the step of increasing said segment length for high frequencies in accordance with the human auditory system.

4. The method of claim 1, including the step of increasing said segment length for high frequencies in accordance with the human auditory system.

5. A digital filter design method for non-linear echo cancellation, including the steps of:

determining a high frequency-resolution speech power spectral density estimate from a residual echo containing speech signal block;

forming a piece-wise constant speech power spectral density estimate by averaging power densities within frequency bin segments of said speech high frequency-resolution power spectral density estimate;

determining a high frequency-resolution residual echo power spectral density estimate from an echo signal block;

forming a piece-wise constant residual echo power spectral density estimate by averaging power densities within frequency bin segments of said high frequency-resolution residual echo power spectral density estimate;

determining a piece-wise constant digital filter transfer function using said piece-wise constant speech power spectral density estimate and said piece-wise constant residual echo power spectral density estimate;

wherein said step of forming a piece-wise constant speech power spectral density estimate includes adapting the length of individual segments to the shape of said high frequency-resolution speech power spectral density estimate; and

wherein said step of forming a piece-wise constant residual echo power spectral density estimate includes using the same segments for both said high frequency-resolution speech power spectral density estimate and said high frequency-resolution residual echo power spectral density estimate.

6. The method of claim 5, including the step of centering segments on local maxima of said high frequency-resolution speech power spectral density estimate.

7. The method of claim 6, including the step of increasing said segment length for high frequencies in accordance with the human auditory system.

8. The method of claim 5, including the step of increasing said segment length for high frequencies in accordance with the human auditory system.

9. A digital filter design method, including the steps of:

determining a high frequency-resolution power spectral density estimate from an input signal block;

forming a piece-wise constant power spectral density estimate by averaging power densities within frequency bin segments of said high frequency resolution power spectral density estimate;

determining a piece-wise constant digital filter transfer function using said piece-wise constant power spectral density estimate;

wherein said step of forming a piece-wise constant power spectral density estimate includes adapting the length of individual segments to the shape of said high frequency-resolution power spectral density estimate.

10. The method of claim 9, including the step of centering segments on local maxima of said high frequency-resolution power spectral density estimates.

11. A digital filter design apparatus for noise suppression by spectral subtraction, including:

means for determining a high frequency-resolution noisy speech power spectral density estimate from a noisy speech signal block;

means for forming a piece-wise constant noisy speech power spectral density estimate by averaging power densities within frequency bin segments of said noisy speech high frequency-resolution power spectral density estimate;

means for determining a high frequency-resolution background noise power spectral density estimate from a background noise signal block;

means for forming a piece-wise constant background noise power spectral density estimate by averaging power densities within frequency bin segments of said high frequency-resolution background noise power spectral density estimate;

means for determining a piece-wise constant digital filter transfer function using spectral subtraction based on said piece-wise constant noisy speech power spectral density estimate and said piece-wise constant back ground noise power spectral density estimate;

means for adapting the length of individual segments to the shape of said high frequency-resolution noisy speech power spectral density estimate; and

means for using the same segments for both said high frequency resolution noisy speech power spectral density estimate and said high frequency-resolution background noise power spectral density estimate.

12. The apparatus of claim 11, including means for centering segments on local maxima of said high frequency-resolution noisy speech power spectral density estimate.

13. The apparatus of claim 12, including means for increasing said segment length for high frequencies in accordance with the human auditory system.

14. The apparatus of claim 11, including means for increasing said segment length for high frequencies in accordance with the human auditory system.

15. A digital filter design apparatus for non-linear echo cancellation, including:

means for determining a high frequency-resolution speech power spectral density estimate from a residual echo containing speech signal block;

means for forming a piece-wise constant speech power spectral density estimate by averaging power densities within frequency bin segments of said speech high frequency-resolution power spectral density estimate;

means for determining a high frequency-resolution residual echo power spectral density estimate from an echo signal block;

means for forming a piece-wise constant residual echo power spectral density estimate by averaging power densities within frequency bin segments of said high frequency-resolution residual echo power spectral density estimate;

means for determining a piece-wise constant digital filter transfer function using said piece-wise constant speech power spectral density estimate and said piece-wise constant residual echo power spectral density estimate;

means for adapting the length of individual segments to the shape of said high frequency-resolution speech power spectral density estimate; and

;

means for using the same segments for both said high frequency resolution speech power spectral density estimate and said high frequency resolution residual echo power spectral density estimate.

16. The apparatus of claim 15, including means for centering segments on local maxima of said high frequency-resolution speech power spectral density estimate.

17. The apparatus of claim 16, including means for increasing said segment length for high frequencies in accordance with the human auditory system.

18. The apparatus of claim 15, including means for increasing said segment length for high frequencies in accordance with the human auditory system.

19. A digital filter design apparatus, including

means for determining a high frequency-resolution power spectral density estimate from an input signal block;

means for forming a piece-wise constant power spectral density estimate by averaging power densities within frequency bin segments of said high frequency-resolution power spectral density estimate;

means for determining a piece-wise constant digital filter transfer functions using said piece-wise constant power spectral density estimate; and

means for adapting the length of individual segments to the shape of said high frequency-resolution power spectral density estimate.

20. The apparatus of claim 19, further including means for centering segments on local maxima of said high frequency-resolution power spectral density estimates.