Crowdsourcing sound captures to determine sound origins and to predict events

1. A method comprising:

identifying, by one or more processors, multiple mobile devices for crowdsourcing a sound capturing activity;

receiving, by one or more processors, sounds captured by the multiple mobile devices;

analyzing, by one or more processors, captured sounds to determine a location of a source of the sounds;

identifying, by one or more processors, a date and time that the source produced the sounds;

identifying, by one or more processors, a temporospatial sound pattern for the sounds based on the location of the source of the sounds and the date and time that the source produced the sounds;

plotting, by one or more processors, the temporospatial sound pattern on a digital map, wherein the digital map depicts the location of the source of the sounds while the source produced the sounds;

predicting, by one or more processors, a recurrence of the sounds generated by the source based on the temporospatial sound pattern plotted on the digital map; and

modifying, by one or more processors, a hardware system based on the predicted recurrence of the sounds produced by the source.

2. The method of claim 1 , wherein the hardware system is an association of the multiple mobile devices, and wherein said modifying the hardware system selectively activates and deactivates mobile devices from the multiple mobile devices based on the predicted recurrence of the sounds produced by the source.

3. The method of claim 1 , wherein the hardware system is a computer system that monitors the multiple mobile devices, and wherein said modifying the hardware system selectively filters out captured sound signals from the multiple mobile devices based on the predicted recurrence of the sounds produced by the source.

4. The method of claim 1 , further comprising:

predicting, by one or more processors, an event other than a recurrence of the sounds based on the temporospatial sound pattern plotted on the digital map.

5. The method of claim 4 , wherein the event is caused by the sounds.

6. The method of claim 1 , wherein the multiple mobile devices are cellular phones.

7. The method of claim 1 , wherein said analyzing of the captured sounds determines the location of the source of the captured sounds by a sound analysis.

8. A computer program product comprising one or more computer readable storage mediums, and program instructions stored on at least one of the one or more storage mediums, the stored program instructions comprising:

program instructions to identify multiple mobile devices for crowdsourcing a sound capturing activity;

program instructions to receive sounds captured by the multiple mobile devices;

program instructions to analyze captured sounds to determine a location of a source of the sounds;

program instructions to identify a date and time that the source produced the sounds;

program instructions to identify a temporospatial sound pattern for the sounds based on the location of the source of the sounds and the date and time that the source produced the sounds;

program instructions to plot the temporospatial sound pattern on a digital map, wherein the digital map depicts the location of the source of the sounds while the source produced the sounds;

program instructions to predict a recurrence of the sounds generated by the source based on the temporospatial sound pattern plotted on the digital map; and

program instructions to modify a hardware system based on the predicted recurrence of the sounds produced by the source.

9. The computer program product of claim 8 , wherein the hardware system is an association of the multiple mobile devices, and wherein said modifying the hardware system selectively activates and deactivates mobile device from the multiple mobile devices based on the predicted recurrence of the sounds produced by the source.

10. The computer program product of claim 8 , wherein the hardware system is a computer system that monitors the multiple mobile devices, and wherein said modifying the hardware system selectively filters out captured sound signals from the multiple mobile devices based on the predicted recurrence of the sounds produced by the source.

11. The computer program product of claim 8 , further comprising:

program instructions to predict an event other than a recurrence of the sounds based on the temporospatial sound pattern plotted on the digital map.

12. The computer program product of claim 11 , wherein the event is caused by the sounds.

13. The computer program product of claim 8 , wherein the multiple mobile devices are cellular phones.

14. The computer program product of claim 8 , wherein said analyzing of the captured sounds determines the location of the source of the captured sounds by a sound analysis.

15. A computer system comprising one or more processors, one or more computer readable memories, and one or more computer readable storage mediums, and program instructions stored on at least one of the one or more storage mediums for execution by at least one of the one or more processors via at least one of the one or more memories, the stored program instructions comprising:

program instructions to identify multiple mobile devices for crowdsourcing a sound capturing activity;

program instructions to receive sounds captured by the multiple mobile devices;

program instructions to analyze captured sounds to determine a location of a source of the sounds;

program instructions to identify a date and time that the source produced the sounds;

program instructions to identify a temporospatial sound pattern for the sounds based on the location of the source of the sounds and the date and time that the source produced the sounds;

program instructions to plot the temporospatial sound pattern on a digital map, wherein the digital map depicts the location of the source of the sounds while the source produced the sounds;

program instructions to predict a recurrence of the sounds generated by the source based on the temporospatial sound pattern plotted on the digital map; and

program instructions to modify a hardware system based on the predicted recurrence of the sounds produced by the source.

16. The computer system of claim 15 , wherein the hardware system is an association of the multiple mobile devices, and wherein said modifying the hardware system selectively activates and deactivates mobile device from the multiple mobile devices based on the predicted recurrence of the sounds produced by the source.

17. The computer system of claim 15 , wherein the hardware system is a computer system that monitors the multiple mobile devices, and wherein said modifying the hardware system selectively filters out captured sound signals from the multiple mobile devices based on the predicted recurrence of the sounds produced by the source.

18. The computer system of claim 15 , further comprising:

program instructions to predict an event other than a recurrence of the sounds based on the temporospatial sound pattern plotted on the digital map, wherein the event is caused by the sounds.

19. The computer system of claim 15 , wherein the multiple mobile devices are cellular phones.

20. The computer system of claim 15 , wherein said analyzing of the captured sounds determines the location of the source of the captured sounds by a sound analysis.