Method and system for region based filtering of speech

• US 5,963,899 A
• Filed: 08/07/1996
• Issued: 10/05/1999
• Est. Priority Date: 08/07/1996
• Status: Expired due to Term

• Current Assignee: Qwest Communications International Incorporated (Lumen Technologies, Inc.)
• Original Assignee: MediaOne Group Inc. (Comcast Corporation), U S West Inc.
• Inventors: Vis, Marvin L., Bayya, Aruna
• Primary Examiner(s): Knepper, David D.
• Application Number:
  US08/694,654
• Time in Patent Office: 1,154 Days
• Field of Search: 364/724.011, 704/214-215, 704/206, 704/208, 704/210, 704/233, 704/226, 704/227, 704/202, 704/232, 704/254, 704/500, 704/503
• US Class Current: 704/226
• CPC Class Codes: G10L 21/0208 Noise filtering
• CPC Class Codes: G10L 25/18 the extracted parameters being spectral information of each sub-band

Abstract

A speech signal divided into frames, each frame having a sound type, and a class is determined for each frame depending on the sound type of the frame. One of multiple filters is selected for each frame depending on the class of the frame. Each frame is filtered according to the filter selected, and the filtered frames combined to provide a filtered speech signal. The system includes filters and software.

Claims

1. A method for adaptively filtering a speech signal, the method comprising:

dividing the signal into a plurality of frames, each frame having one of a plurality of sound types associated therewith;

determining one of a plurality of classes for each frame, wherein the class determined depends on the sound type associated with the frame;

selecting one of a plurality of filters for each frame, wherein the filter selected depends on the class of the frame;

filtering each frame according to the filter selected; and

combining the plurality of filtered frames to provide a filtered speech signal.

2. The method of claim 1 further comprising estimating parameters for the plurality of filters based on a clean speech signal.

3. The method of claim 1 wherein each of the plurality of filters is associated with one of the plurality of classes for the frames.

4. The method of claim 1 wherein the plurality of filters comprises a filter bank.

5. The method of claim 1 wherein the speech signal is a time domain signal and each of the plurality of frames comprises a portion of the signal, each portion having a preselected time period.

6. The method of claim 1 wherein the speech signal is a time domain signal and each of the plurality of frames comprises a portion of the signal, each portion having a variable time period.

7. The method of claim 1 wherein the plurality of sound types comprises speech and non-speech sounds.

8. The method of claim 1 wherein the plurality of sound types comprises silence, fricatives, stops, vowels, nasals, and glides.

9. The method of claim 8 wherein the plurality of sound types further comprises other non-speech sounds.

10. A system for adaptively filtering a speech signal, the system comprising:

means for dividing the signal into a plurality of frames, each frame having one of a plurality of sound types associated therewith;

means for determining one of a plurality of classes for each frame, wherein the class determined depends on the sound type associated with the frame;

a plurality of filters for filtering the frames;

means for selecting one of the plurality of filters for each frame, wherein the filter selected depends upon the class of the frame; and

means for combining the plurality of filtered frames to provide a filtered speech signal.

11. The system of claim 10 further comprising means for estimating parameters for the plurality of filters based on a clean speech signal.

12. The system of claim 10 wherein each of the plurality of filters is associated with one of the plurality of classes for the frames.

13. The system of claim 10 wherein the plurality of filters comprises a filter bank.

14. The system of claim 10 wherein the speech signal is a time domain signal and each of the plurality of frames comprises a portion of the signal, each portion having a preselected time period.

15. The system of claim 10 wherein the speech signal is a time domain signal and each of the plurality of frames comprises a portion of the signal, each portion having a variable time period.

16. The system of claim 10 wherein the plurality of sound types comprises speech and non-speech sounds.

17. The system of claim 10 wherein the plurality of sound types comprises silence, fricatives, stops, vowels, nasals, and glides.

18. The system of claim 17 wherein the plurality of sound types further comprises other non-speech sounds.