IP Library Granted Patent US 12,170,880
Granted Patent B2
US 12,170,880 · App. 18/487,952 · Granted Dec 17, 2024

Loudspeaker array passive acoustic configuration procedure

Inventor: Xian Yu (Bryn Mawr, PA)
Assignee: Biamp Systems, LLC
H04S7/30G10L19/008G10L19/04H04R1/403H04R3/12H04R5/02H04S2420/03
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Quick Facts
Patent No.
US 12,170,880
App. No.
18/487,952
Granted
Dec 17, 2024
Kind
B2
Abstract

An example method of operation includes identifying a loudspeaker array profile defining characteristics of a loudspeaker array stored in memory, identifying a three-dimensional venue geometry value stored in the memory, defining virtual receivers to simulate acoustic characteristics within the venue geometry, defining a number of passive acoustic filter permutations to perform within a range of passive acoustic filter settings, and each passive acoustic filter setting is unique and has one or more passive acoustic filters to apply to one or more loudspeakers in the loudspeaker array, selecting performance criteria to apply to the loudspeaker array to represent its sound coverage uniformity at a given location throughout the venue geometry, calculating the performance criteria of the loudspeaker array via a passive acoustic filter setting selected from one or more of the passive acoustic filter permutations by performing a simulation with the passive acoustic filter settings, identifying an optimized passive acoustic filter setting from a specific permutation, with which the loudspeaker array achieves optimal uniform sound coverage in the venue geometry, and applying the optimized passive acoustic filter setting to the loudspeaker array.

Claims (43)

1. A method, comprising:

defining a range of passive acoustic filter settings, wherein each passive acoustic filter setting comprises one or more passive acoustic filters to apply to one or more loudspeakers in a loudspeaker array;

calculating a performance criteria of the loudspeaker array by performing a simulation with the passive acoustic filter settings;

identifying the passive acoustic filter setting, with which the loudspeaker array achieves optimal uniform sound coverage in a venue; and

applying the passive acoustic filter setting to the loudspeaker array.

2. The method of claim 1 , wherein the passive acoustic filter setting is dependent on a passive acoustic filter quantity of the one or more loudspeakers.

3. The method of claim 1 , wherein the loudspeaker array comprises a plurality of loudspeakers, one or more loudspeaker models, a loudspeaker array position, one or more loudspeaker positions, one or more aiming angles, and one or more splay angles.

4. The method of claim 3 , comprising performing the passive acoustic filter settings that are not acoustically redundant.

5. The method of claim 1 , comprising identifying the passive acoustic filter settings that are acoustically redundant.

6. The method of claim 1 , comprising

dynamically converging towards an optimal passive acoustic filter setting so that each cycle of the simulation has an increased coverage uniformity with optimal performance criteria over a previous simulation cycle;

establishing an optimization set of passive acoustic filter settings with each filter setting demonstrating a higher performance loudspeaker setting than a previously calculated setting; and

selecting a last setting in a set of identified settings as the optimal passive acoustic filter setting.

7. The method of claim 6 , comprising

defining and using an acoustic critical point to identify the optimal passive acoustic filter setting.

8. An apparatus, comprising

a processor configured to

define a range of passive acoustic filter settings, wherein each passive acoustic filter setting comprises one or more passive acoustic filters to apply to one or more loudspeakers in a loudspeaker array;

calculate a performance criteria of the loudspeaker array by performing a simulation with the passive acoustic filter settings;

identify the passive acoustic filter setting, with which the loudspeaker array achieves optimal uniform sound coverage in a venue; and

apply the passive acoustic filter setting to the loudspeaker array.

9. The apparatus of claim 8 , wherein the passive acoustic filter setting is dependent on a passive acoustic filter quantity of the one or more loudspeakers.

10. The apparatus of claim 8 , wherein the loudspeaker array comprises a plurality of loudspeakers, one or more loudspeaker models, a loudspeaker array position, one or more loudspeaker positions, one or more aiming angles, and one or more splay angles.

11. The apparatus of claim 10 , wherein the processor is further configured to perform the passive acoustic filter settings that are not acoustically redundant.

12. The apparatus of claim 8 , wherein the processor is further configured to identify the passive acoustic filter settings that are acoustically redundant.

13. The apparatus of claim 8 , wherein the processor is further configured to

dynamically converge towards an optimal passive acoustic filter setting so that each cycle of the simulation has an increased coverage uniformity with optimal performance criteria over a previous simulation cycle;

establish an optimization set of passive acoustic filter settings with each filter setting demonstrating a higher performance loudspeaker setting than a previously calculated setting; and

select a last setting in a set of identified settings as the optimal passive acoustic filter setting.

14. The apparatus of claim 13 , wherein the processor is further configured to define and use an acoustic critical point to identify the optimal passive acoustic filter setting.

15. A non-transitory computer readable storage medium configured to store instructions that when executed cause a processor to perform:

defining a range of passive acoustic filter settings, wherein each passive acoustic filter setting comprises one or more passive acoustic filters to apply to one or more loudspeakers in a loudspeaker array;

calculating a performance criteria of the loudspeaker array by performing a simulation with the passive acoustic filter settings;

identifying the passive acoustic filter setting, with which the loudspeaker array achieves optimal uniform sound coverage in a venue; and

applying the passive acoustic filter setting to the loudspeaker array.

16. The non-transitory computer readable storage medium of claim 15 , wherein the passive acoustic filter setting is dependent on a passive acoustic filter quantity of the one or more loudspeakers.

17. The non-transitory computer readable storage medium of claim 15 , wherein the loudspeaker array comprises a plurality of loudspeakers, one or more loudspeaker models, a loudspeaker array position, one or more loudspeaker positions, one or more aiming angles, and one or more splay angles.

18. The non-transitory computer readable storage medium of claim 17 , comprising performing the passive acoustic filter settings that are not acoustically redundant.

19. The non-transitory computer readable storage medium of claim 15 , comprising identifying the passive acoustic filter settings that are acoustically redundant.

20. The non-transitory computer readable storage medium of claim 15 , wherein the processor is further configured to perform:

dynamically converging towards an optimal passive acoustic filter setting so that each cycle of the simulation has an increased coverage uniformity with optimal performance criteria over a previous simulation cycle;

establishing an optimization set of passive acoustic filter settings with each filter setting demonstrating a higher performance loudspeaker setting than a previously calculated setting; and

selecting a last setting in a set of identified settings as the optimal passive acoustic filter setting.

Assignments (2)
SECURITY INTEREST Recorded May 3, 2024
From: BIAMP SYSTEMS, LLC
To: MIDCAP FINANCIAL TRUST, AS COLLATERAL AGENT
Reel/Frame 067308/0631 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 16, 2023
From: YU, XIAN
To: BIAMP SYSTEMS, LLC
Reel/Frame 065243/0456 →
Continuity (5)
Continuation 18159080 · Jan 24, 2023
Continuation 17390555 · Jul 30, 2021
Provisional Application 63139801 · Jan 21, 2021
Provisional Application 63139802 · Jan 21, 2021
Related Publication 20240048930A1 · Feb 8, 2024