Adaptive noise reduction using level cues

• US 9,437,180 B2
• Filed: 03/21/2014
• Issued: 09/06/2016
• Est. Priority Date: 01/26/2010
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Knowles Electronics Llc (Knowles Corporation)
• Inventors: Murgia, Carlo, Avendano, Carlos, Younes, Karim, Every, Mark, Jiang, Ye
• Primary Examiner(s): Lao, Lun-See
• Application Number:
  US14/222,255
• Publication Number:
  US 20140205107A1
• Time in Patent Office: 900 Days
• Field of Search: 381/92, 381 711- 717, 381/63, 381/56, 381 941- 944, 381/111, 381/312, 381/313, 381 7111- 7114, 700/94, 704/226
• US Class Current: 1/1
• CPC Class Codes: G10K 11/16 Methods or devices for protecting against, or for damping, noise or other acoustic waves in general G10K11/36 takes precedence
• CPC Class Codes: H04R 3/005 for combining the signals of two or more microphones specially adapted for hearing aids H04R25/407

Abstract

A system utilizing two pairs of microphones for noise suppression. Primary and secondary microphones may be positioned closely spaced to each other to provide acoustic signals used to achieve noise cancellation/suppression. An additional, tertiary microphone may be spaced with respect to either the primary microphone or the secondary microphone in a spread-microphone configuration for deriving level cues from audio signals provided by the tertiary and the primary or secondary microphone. The level cues are expressed via a level difference used to determine one or more cluster tracking control signal(s). The level difference-based cluster tracking signals are used to control adaptation of noise suppression. A noise cancelled primary acoustic signal and level difference-based cluster tracking control signals are used during post filtering to adaptively generate a mask to be applied to a speech estimate signal.

Claims

1. A method for suppressing noise, the method comprising:

receiving three acoustic signals;

determining level difference information from two pairs of the acoustic signals, one of the pairs comprising a first and second acoustic signal of the three acoustic signals, another of the pairs comprising a third acoustic signal of the acoustic signals and one of the first and second acoustic signals, wherein a primary acoustic signal comprises one of the three acoustic signals; and

performing noise cancellation on the primary acoustic signal by subtracting a noise component from the primary acoustic signal, the noise component based at least in part on the level difference information.

2. The method of claim 1, further comprising adapting the noise cancellation of the primary acoustic signal based at least in part on the level difference information.

3. The method of claim 1, further comprising performing noise cancellation by noise subtraction blocks configured in a cascade, the noise subtraction blocks processing any of the three acoustic signals.

4. The method of claim 3, further comprising:

receiving, by a first noise subtraction block in the cascade, the one of the pairs of the three acoustic signals; and

receiving, by a next noise subtraction block in the cascade, an output of the first noise subtraction block and one of the three acoustic signals not included in the one of the pairs of the three acoustic signals received by the first noise subtraction block.

5. The method of claim 4, wherein the output of the first noise subtraction block is a noise reference signal, further comprising:

generating a noise estimate based at least in part on the noise reference signal and a speech reference output of any of the noise subtraction blocks; and

providing the noise estimate to a post processor.

6. The method of claim 5, wherein the level difference information is normalized via a cluster tracker module.

7. The method of claim 1, wherein the three acoustic signals further include a secondary acoustic signal and a tertiary acoustic signal.

8. The method of claim 1, further comprising:

generating the level difference information using energy level estimates; and

providing the level difference information to a cluster tracker module, the cluster tracker module being configured for controlling adaptation of noise suppression.

9. A system for suppressing noise, the system comprising:

a frequency analysis module stored in memory and executed by a processor to receive three acoustic signals;

a level difference module stored in memory and executed by a processor to determine level difference information from two pairs of acoustic signals, one of the pairs of the acoustic signals comprising a first and second acoustic signal of the three acoustic signals, another of the pairs of acoustic signals comprising a third acoustic signal of the three acoustic signals and one of the first and second acoustic signals, wherein a primary acoustic signal comprises one of the three acoustic signals; and

a noise cancellation module stored in memory and executed by a processor to perform noise cancellation on the primary acoustic signal by subtracting a noise component from the primary acoustic signal, the noise component based at least in part on the level difference information.

10. The system of claim 9, wherein a post filter module is executed to adapt the noise cancellation of the primary acoustic signal based at least in part on the level difference information.

11. The system of claim 9, further comprising noise subtraction blocks configured in a cascade, the noise subtraction blocks performing noise cancellation by processing any of the three acoustic signals.

12. The system of claim 11, wherein a first noise subtraction block in the cascade, when executed by a processor, receives the one of the pairs of the three acoustic signals, and a next noise subtraction block in the cascade, when executed by a processor, receives an output of the first noise subtraction block and one of the three acoustic signals not included in the one of the pairs of the acoustic signals received by the first noise subtraction block.

13. The system of claim 12, wherein the output of the first noise subtraction block is a noise reference signal, the system further comprising a noise estimate module, which, when executed, generates a noise estimate based at least in part on the noise reference signal and a speech reference output of any noise subtraction block, and provides the noise estimate to a post processor.

14. The system of claim 13, wherein the level difference information is normalized via a cluster tracker module for controlling adaptation of noise suppression.

15. A non-transitory computer readable storage medium having embodied thereon a program, the program being executable by a processor to perform a method for suppressing noise, the method comprising:

receiving three acoustic signals;

determining level difference information from two pairs of the acoustic signals, one of the pairs comprising a first and second acoustic signal of the three acoustic signals, another of the pairs comprising a third acoustic signal of the acoustic signals and one of the first and second acoustic signals, wherein a primary acoustic signal comprises one of the three acoustic signals; and

performing noise cancellation on the primary acoustic signal by subtracting a noise component from the primary acoustic signal, the noise component based at least in part on the level difference information.

16. The non-transitory computer readable storage medium of claim 15, the method further comprising adapting the noise cancellation of the primary acoustic signal based at least in part on the level difference information.

17. The non-transitory computer readable storage medium of claim 15, the method further comprising performing noise cancellation by noise subtraction blocks configured in a cascade, the noise subtraction blocks processing any of the three acoustic signals.

18. The non-transitory computer readable storage medium of claim 17, the method further comprising:

receiving, by a first noise subtraction block in the cascade, the one of the pairs of the three acoustic signals; and

receiving, by a next noise subtraction block in the cascade, an output of the first noise subtraction block and one of the three acoustic signals not included in the one of the pairs of the three acoustic signals received by the first noise subtraction block.

19. The non-transitory computer readable storage medium of claim 18, wherein the output of the first noise subtraction block is a noise reference signal, the method further comprising:

generating a noise estimate based at least in part on the noise reference signal and a speech reference output of any of the noise subtraction blocks; and

providing the noise estimate to a post processor, wherein the level difference information is normalized.

20. The non-transitory computer readable storage medium of claim 19, further comprising:

generating the level difference information using energy level estimates determined via at least one frequency analysis module; and

providing the level difference information to a cluster tracker module, the cluster tracker module being configured to control adaptation of noise suppression.