Method and apparatus for dynamic reduction of camera body acoustic shadowing in wind noise processing

1. An image capture device comprising:

microphones on different faces of the image capture device configured to obtain audio signals; and

a processor configured to:

segment the audio signals into low frequency bins and high frequency bins;

select a minimum level signal bin for the low frequency bins;

select a minimum level signal bin for the high frequency bins; and

generate a composite signal by combining the selected minimum level signal bin for the low frequency bins and the selected minimum level signal bin for the high frequency bins.

2. The image capture device of claim 1 , wherein a first group of the microphones comprises three microphones.

3. The image capture device of claim 2 , wherein a second group of the microphones experience lower acoustic shadowing than the first group of the microphones.

4. The image capture device of claim 1 , wherein the processor is further configured to:

select the minimum level signal bin for the low frequency bins from the microphones.

5. The image capture device of claim 4 , wherein when a difference between the minimum level signal bin for the low frequency bins of a first group of the microphones and the minimum level signal bin for the low frequency bins of a second group of the microphones is greater than a threshold, the processor is further configured to:

select the minimum level signal bin of the first group of the microphones.

6. The image capture device of claim 4 , wherein when a difference between the minimum level signal bin for the low frequency bins of a first group of the microphones and the minimum level signal bin for the low frequency bins of a second group of the microphones is less than a threshold, the processor is further configured to:

select the minimum level signal bin of the second group of the microphones.

7. The image capture device of claim 1 , wherein the low frequency bins comprise audio signals having frequencies less than 1200 Hz and the high frequency bins comprise audio signals having frequencies greater than 1200 Hz.

8. A method comprising:

receiving signals from microphones;

segmenting the signals into low frequency bins and high frequency bins;

selecting, for the low frequency bins, a minimum level signal bin;

processing, for the high frequency bins, signals from the microphones and signals from a subset of the microphones;

selecting, for the high frequency bins, a minimum signal level bin; and

concatenating the selected minimum level signal bin of the low frequency bins with the selected minimum level signal bin of the high frequency bins.

9. The method of claim 8 , further comprising:

determining a difference between the minimum level signal bin for the high frequency bins of the microphones and the minimum level signal bin for the high frequency bins of the subset of the microphones.

10. The method of claim 9 , further comprising:

selecting the minimum level signal bin of the microphones for the high frequency bins based on the difference being greater than a threshold.

11. The method of claim 9 , further comprising:

selecting the minimum level signal bin of the subset of the microphones based on the difference being less than a threshold.

12. The method of claim 8 , wherein the subset of the microphones is based on an image capture device orientation or geometry.

13. The method of claim 8 , wherein the subset of the microphones include a pair of microphones on a top surface of a body of an image capture device.

14. The method of claim 8 , wherein the processing includes filtering the signals to remove low level noise.

15. An image capture device that includes one or more faces, the image capture device comprising:

microphones disposed on the one or more faces of the image capture device and configured to obtain audio signals; and

a processor configured to:

segment individual ones of the audio signals into low frequency portions and high frequency portions;

evaluate a first signal level in individual ones of the low frequency portions;

select a low frequency portion of the low frequency portions, based on the first signal level for the low frequency portion that meets a low frequency condition;

evaluate a second signal level in individual ones of the high frequency portions;

select a high frequency portion of the high frequency portions, based on the second signal level for the high frequency portion that meets a high frequency condition; and

obtain a composite signal by combining the selected low frequency portion and the selected high frequency portion.

16. The image capture device of claim 15 , wherein when a difference between the first signal level of a first group of microphones and the first signal level signal of a second group of microphones is greater than a threshold, the processor is further configured to:

select the first signal level of the first group of microphones.

17. The image capture device of claim 15 , wherein when a difference between the first signal level of a first group of microphones and the first signal level of a second group of microphones is less than a threshold, the processor is further configured to:

select the first signal level of the second group of microphones.

18. The image capture device of claim 17 , wherein the processor is further configured to:

receive the signals from the microphones and output a subset of signals.

19. The image capture device of claim 18 , wherein the subset of signals comprises signals from the second group of microphones.

20. The image capture device of claim 15 , wherein the processor is configured to transmit a control signal.