Noise-dependent postfiltering

• US 20060116874A1
• Filed: 10/24/2003
• Published: 06/01/2006
• Est. Priority Date: 10/24/2003
• Status: Abandoned Application

• Current Assignee: Nokia Corporation
• Original Assignee: Nokia Corporation
• Inventors: Grancharov, Volodya, Kleijn, Willem Bastiaan, Samuelsson, Jonas
• Application Number:
  US10/540,741
• Publication Number:
  US 20060116874A1
• Time in Patent Office: Days
• US Class Current: 704/228
• CPC Class Codes: G10L 19/26 Pre-filtering or post-filtering
• CPC Class Codes: G10L 21/0208 Noise filtering

Abstract

A method of filtering a speech signal is presented. The method involves providing a filter (404) suited for reduction of distortion caused by speech coding, estimating acoustic noise in the speech signal, adapting the filter in response to the estimated acoustic noise to obtain an adapted filter, and applying the adapted filter to the speech signal so as to reduce acoustic noise and distortion caused by speech coding in the speech signal.

Claims

1. A method of filtering a speech signal, the method involving the steps of providing a filter suited for reduction of distortion caused by speech coding;

estimating acoustic noise in said speech signal;

adapting said filter in response to the estimated acoustic noise to obtain an adapted filter; and

applying said adapted filter to said speech signal so as to reduce acoustic noise and distortion caused by speech coding in said speech signal.

2. The method as defined in claim 1, wherein said step of adapting said filter involves adjusting filter coefficients of said filter.

3. The method as defined in claim 2, wherein said steps of estimating, adapting and applying are performed for portions of said speech signal which contain speech as well as for portions which do not contain speech.

4. The method as defined in claim 2, wherein said filter includes a short-term filter function designed for attenuation between spectrum formant peaks of said speech signal and wherein said filter coefficients include at least one coefficient that controls the frequency response of said short-term filter function.

5. The method as defined in claim 4, wherein said filter includes a spectrum tilt compensation function and wherein said filter coefficients include at least one coefficient that controls said spectrum tilt compensation function.

6. The method as defined in claim 1, wherein acoustic noise in said speech signal is estimated as relative noise energy (SNR) and noise spectrum tilt.

7. The method as defined in claim 2, wherein said step of adapting is performed by selecting values for said filter coefficients from a lookup table which maps a plurality of values of estimated acoustic noise to a plurality of filter coefficient values.

8. The method as defined in claim 1, wherein said steps of estimating, adapting and applying are performed after a step of decoding said speech signal.

9. The method as defined in claim 1, wherein said steps of estimating, adapting and applying are performed before a step of encoding said speech signal.

10. The method as defined in claim 1, wherein said speech signal comprises speech frames and wherein said steps of estimating, adapting and applying are performed on a frame-by-frame basis.

11. The method as defined in claim 7, further comprising the initial steps of generating said lookup table by:

adding different artificial noise power spectra having given parameter (s) of acoustic noise to different clean speech power spectra ;

optimizing a predetermined distortion measure by applying said filter to different combinations of clean speech power spectra and artificial noise power spectra; and

for said different combinations, saving in said lookup table those filter coefficient values, for which said predetermined distortion measure is optimal, together with corresponding value (s) of said given parameter (s) of acoustic noise.

12. The method as defined in claim 11, wherein said predetermined distortion measure includes Spectral Distortion (SD).

13. The method as defined in claim 11, wherein said given parameters of acoustic noise include relative noise energy (SNR) and noise spectrum tilt.

14. The method as defined in claim 10, wherein acoustic noise in said speech signal is estimated as relative noise energy (SNR) and noise spectrum tilt, the method comprising the further steps, after said step of estimating acoustic noise, of deciding whether the estimated relative noise energy for a current speech frame is below a predetermined threshold;

and if so, not performing said steps of adapting filter coefficients and applying said filter, and instead per-forming energy attenuation on the current speech frame so as to suppress acoustic noise in a speech pause.

26. A computer program product directly loadable into a memory of a processor, where the computer program product comprises program code for performing the method according to claim 1 when executed by said processor.

15. An electronic apparatus having a speech filtering device for a speech signal, the speech filtering device comprising:

a filter suited for reduction of distortion caused by speech coding;

means for estimating acoustic noise in said speech signal; and

means for adapting said filter in response to the estimated acoustic noise,

wherein said filter, when applied to said speech signal, reduces acoustic noise and distortion caused by speech coding in said speech signal.

16. The electronic apparatus as in claim 15, wherein said means for adapting said filter is arranged to adjust filter coefficients of said filter in response to the estimated acoustic noise.

17. The electronic apparatus as in claim 16, wherein said means for estimating, said means for adapting and said filter are arranged to operate on portions of said speech signal which contain speech as well as on portions which do not contain speech.

18. The electronic apparatus as in claim 16, wherein said filter includes a short-term filter function designed for attenuation between spectrum formant peaks of said speech signal and wherein said filter coefficients include at least one coefficient that controls the frequency response of said short-term filter function.

19. The electronic apparatus as in claim 15, wherein said means for estimating acoustic noise is arranged to estimate it as relative noise energy (SNR) and noise spectrum tilt.

20. The electronic apparatus as in claim 16, wherein said means for adapting said filter comprises a lookup table, which maps a plurality of values of estimated acoustic noise to a plurality of filter coefficient values.

21. The electronic apparatus as in claim 15, wherein said speech signal comprises speech frames and wherein said means for estimating, said means for adapting and said filter are arranged to operate on said speech signal on a frame-by-frame basis.

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