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1. WO2020118290 - SYSTEM AND METHOD FOR ACOUSTIC LOCALIZATION OF MULTIPLE SOURCES USING SPATIAL PRE-FILTERING

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[ EN ]

What Is Claimed Is:

1. A computer-implemented method comprising:

identifying, by a computing device, a plurality of sources, wherein a first source of the plurality of sources is a source of interest and wherein a second source of the plurality of sources is an interference source; and

monitoring the first source and the second source simultaneously by implementing a spatial pre-filter for acoustic source localization.

2. The computer-implemented method of claim 1 wherein the pre-filtering is based upon, at least in part, Multichannel Coherent to Diffuse Ratio.

3. The computer-implemented method of claim 1 further comprising excluding sound from an a-priori known steering angle of the spatial pre-filter from a localization of one of the first source and the second source.

4. The computer-implemented method of claim 1 wherein a steering angle of the spatial pre-filter is determined based upon, at least in part, one of a-priori knowledge and an external sensor.

5. The computer-implemented method of claim 1, further comprising determining a steering angle of the spatial pre-filter based upon, at least in part, a localization result from a last processing frame.

6. The computer-implemented method of claim 5 wherein each detected source of the plurality of sources has a dedicated spatial pre-filter of a bank of spatial pre-filters.

7. The computer-implemented method of claim 6 further comprising determining a further spatial pre-filter associated with background to reduce masking artifacts and enable localization of one or more previously masked sources.

8. The computer-implemented method of claim 5 wherein an expectation step is carried out in a postprocessor using one or more broadband raw acoustic source localization results.

9. The computer-implemented method of claim 5 wherein spatial pre-filtering is used as a replacement for an expectation step in an expectation maximization based classifier.

10. The computer-implemented method of claim 1 further comprising combining the spatial pre-filter with one or more non-spatial filters.

11. A computing system including one or more processors and one or more memories configured to perform operations comprising:

identifying, by a computing device, a plurality of sources, wherein a first source of the plurality of sources is a source of interest and wherein a second source of the plurality of sources is an interference source; and

monitoring the first source and the second source simultaneously by implementing a spatial pre-filter for acoustic source localization.

12. The computing system of claim 11 wherein the pre-filtering is based upon, at least in part, Multichannel Coherent to Diffuse Ratio.

13. The computing system of claim 11 further comprising excluding sound from an a-priori known steering angle of the spatial pre-filter from a localization of one of the first source and the second source.

14. The computing system of claim 11 wherein a steering angle of the spatial pre filter is determined based upon, at least in part, one of a-priori knowledge and an external sensor.

15. The computing system of claim 11, further comprising determining a steering angle of the spatial pre-filter based upon, at least in part, a localization result from a last processing frame.

16. The computing system of claim 15 wherein each detected source of the plurality of sources has a dedicated spatial pre-filter of a bank of spatial pre-filters.

17. The computing system of claim 16 further comprising determining a further spatial pre-filter associated with background to reduce masking artifacts and enable localization of one or more previously masked sources.

18. The computing system of claim 15 wherein an expectation step is carried out in a postprocessor using one or more broadband raw acoustic source localization results.

19. The computing system of claim 15 wherein spatial pre-filtering is used as a replacement for an expectation step in an expectation maximization based classifier.

20. The computing system of claim 11 further comprising combining the spatial pre filter with one or more non-spatial filters.