ECHO CANCELATION USING CONVOLUTIVE BLIND SOURCE SEPARATION

• US 20190327557A1
• Filed: 04/19/2019
• Published: 10/24/2019
• Est. Priority Date: 04/19/2018
• Status: Active Grant

• Current Assignee: Utah State University
• Original Assignee: Utah State University
• Inventors: Moon, Todd K., Gunther, Jacob H.
• Granted Patent: US 10,939,205 B2
• Time in Patent Office: Days
• CPC Class Codes: H04R 3/02 for preventing acoustic reaction , i.e. acoustic oscillatory feedback specially adapted for hearing aids H04R25/453

Abstract

For canceling acoustic echoing, a processor receives audio signals comprising a speaker output and an ambient input. The processor further calculates separated output signals from mixed signals using a separating transfer function. The processor calculates a criterion function based on the separated output signals. In addition, the processor calculates an acoustic echo transfer function based on maximizing the a criterion function. The processor separates a source signal from the audio signal using the acoustic echo transfer function.

Claims

1. A method comprising:

receiving, by use of a processor, audio signals comprising a speaker output and an ambient input;

calculating separated output signals from mixed signals using a separating transfer function;

calculating a criterion function based on the separated output signals;

calculating an acoustic echo transfer function based on maximizing the a criterion function; and

separating a source signal from the audio signal using the acoustic echo transfer function.

2. The method of claim 1, wherein the criterion function is maximized using gradient ascent.

3. The method of claim 1, wherein the criterion function is maximized using natural gradient ascent.

4. The method of claim 1 wherein the separating transfer function W(z, t) is W(z, t)=Σ

_p=0^Lm W_p(t)z<sup>−

p</sup> wherein

5. The method of claim 1, wherein the criterion function is ϕ

(W₀(t), W₁(t), . . . , W_LM(t)).

6. The method of claim 1, wherein a likelihood function p_{si| - - -} (y_i(τ

)| - - - ), for i=1, 2, is the function k exp(α

|y_i(t)|^ϵ

).

7. The method of claim 1, wherein a likelihood function p_{si| - - -} (y_i(τ

)| - - - ), for i=1, 2, is the function k exp(α

|y_i(t)−

y_i(t−

1)|^ϵ

).

8. The method of claim 1, wherein a likelihood function p_{si| - - -} (y_i(τ

)| - - - ), for i=1, 2, is the function k exp(α

|y_i(t)−

Σ

_j=1^Mα

_jy_i(t−

j)|^ϵ

).

9. An apparatus comprising:

a processor;

a memory storing code executable by the processor to perform;

receiving audio signals comprising a speaker output and an ambient input;

calculating separated output signals from mixed signals using a separating transfer function;

calculating a criterion function based on the separated output signals;

calculating an acoustic echo transfer function based on maximizing the a criterion function; and

separating a source signal from the audio signal using the acoustic echo transfer function.

10. The apparatus of claim 9, wherein the criterion function is maximized using gradient ascent.

11. The apparatus of claim 9, wherein the criterion function is maximized using natural gradient ascent.

12. The apparatus of claim 9, wherein the separating transfer function W(z, t) is W(z, t)=Σ

_p=0^LM W_p(t)z<sup>−

p</sup> wherein

13. The apparatus of claim 9, wherein the criterion function is ϕ

(W₀(t), W₁(t), . . . , W_LM(t)).

14. The apparatus of claim 9, wherein a likelihood function p_{si| - - -} (y_i(τ

)| - - - ), for i=1, 2, is the function k exp(α

|y_i(t)|^ϵ

).

15. The apparatus of claim 9, wherein a likelihood function p_{si| - - -} (y_i(τ

)| - - - ), for i=1, 2, is the function k exp(α

|y_i(t)−

y_i(t−

1)|^ϵ

).

16. The apparatus of claim 9, wherein a likelihood function p_{si| - - -} (y_i(τ

)| - - - ), for i=1, 2, is the function k exp(α

|y_i(t)−

Σ

_j=1^M α

_jy_i(t−

j)|^ϵ

).

17. A computer program product comprising a non-transitory computer-readable storage medium storing code executable by a processor to perform:

receiving audio signals comprising a speaker output and an ambient input;

calculating separated output signals from mixed signals using a separating transfer function;

calculating a criterion function based on the separated output signals;

calculating an acoustic echo transfer function based on maximizing the a criterion function; and

separating a source signal from the audio signal using the acoustic echo transfer function.

18. The computer program product of claim 17, wherein the criterion function is maximized using gradient ascent.

19. The computer program product of claim 17, wherein the criterion function is maximized using natural gradient ascent.

20. The computer program product of claim 17, wherein the separating transfer function W(z, t) is W(z, t)=Σ

_p=0^Lm W_p(t)z<sup>−

p</sup> wherein