Generating adaptive notification

1. A method, comprising:

analyzing, at a user device, a spectrum of environmental noise;

selecting, based on analyzing the spectrum of environmental noise, a portion of the spectrum for adaptive notification enhancement, wherein a power level of the environmental noise in the selected portion of the spectrum is less than a predetermined power level;

after selecting the portion of the spectrum for adaptive notification enhancement, generating, at the user device, an adapted notification, wherein the adapted notification is generated by enhancing a portion of a notification corresponding to the selected portion of the spectrum; and

transmitting, at the user device, the adapted notification.

2. The method of claim 1 , wherein generating the adapted notification comprises:

selecting an enhanced waveform from a plurality of predetermined waveforms; and

adding the selected enhanced waveform to a notification waveform to generate the adapted notification.

3. The method of claim 2 , wherein the enhanced waveform is selected based on a context of the notification.

4. The method of claim 3 , wherein the context is at least one of a source context or an urgency context.

5. The method of claim 2 , wherein each of the plurality of predetermined waveforms is associated with at least one of a plurality of sonic layers, and each of the plurality of sonic layers is associated with a context.

6. The method of claim 1 , wherein analyzing the spectrum of environmental noise comprises measuring a frequency distribution of environmental noise using a digital microphone.

7. The method of claim 6 , further comprising:

detecting a motion pattern of the user device;

determining a measurement cycle based on the detected motion pattern; and

measuring the frequency distribution according to the measurement cycle.

8. A tangible, non-transitory machine-readable medium encoded with machine-executable instructions, wherein execution of the machine-executable instructions causes a computing device to perform operations comprising:

analyzing a spectrum of environmental noise;

selecting, based on analyzing the spectrum of environmental noise, a portion of the spectrum for adaptive notification enhancement, wherein a power level of the environmental noise in the selected portion of the spectrum is less than a predetermined power level;

after selecting the portion of the spectrum for adaptive notification enhancement, generating an adapted notification, wherein the adapted notification is generated by enhancing a portion of a notification corresponding to the selected portion of the spectrum; and

transmitting the adapted notification.

9. The tangible, non-transitory machine-readable medium of claim 8 , wherein generating the adapted notification comprises:

selecting an enhanced waveform from a plurality of predetermined waveforms; and

adding the selected enhanced waveform to a notification waveform to generate the adapted notification.

10. The tangible, non-transitory machine-readable medium of claim 9 , wherein the enhanced waveform is selected based on a context of the notification.

11. The tangible, non-transitory machine-readable medium of claim 10 , wherein the context is at least one of a source context or an urgency context.

12. The tangible, non-transitory machine-readable medium of claim 8 , wherein analyzing the spectrum of environmental noise comprises measuring a frequency distribution of environmental noise using a digital microphone.

13. The tangible, non-transitory machine-readable medium of claim 12 , wherein the operations further comprise:

detecting a motion pattern of the computing device;

determining a measurement cycle based on the detected motion pattern; and

measuring the frequency distribution according to the measurement cycle.

14. A device, comprising:

a memory; and

at least one hardware processor communicatively coupled with the memory and configured to:

analyze, at the device, a spectrum of environmental noise;

select, based on analyzing the spectrum of environmental noise, a portion of the spectrum for adaptive notification enhancement, wherein a power level of the environmental noise in the selected portion of the spectrum is less than a predetermined power level;

after selecting the portion of the spectrum for adaptive notification enhancement, generate, at the device, an adapted notification, wherein the adapted notification is generated by enhancing a portion of a notification corresponding to the selected portion of the spectrum; and

transmit, at the device, the adapted notification.

15. The device of claim 14 , wherein generating the adapted notification comprises:

selecting an enhanced waveform from a plurality of predetermined waveforms; and

adding the selected enhanced waveform to a notification waveform to generate the adapted notification.

16. The device of claim 15 , wherein the enhanced waveform is selected based on a context of the notification.

17. The device of claim 16 , wherein the context is at least one of a source context or an urgency context.

18. The device of claim 15 , wherein each of the plurality of predetermined waveforms is associated with at least one of a plurality of sonic layers, and each of the plurality of sonic layers is associated with a context.

19. The device of claim 14 , further comprising a digital microphone, and wherein analyzing the spectrum of environmental noise comprises measuring a frequency distribution of environmental noise using the digital microphone.

20. The device of claim 19 , further comprising a motion sensor that is configured to detect a motion pattern of the device, and wherein the at least one hardware processor is further configured to:

determine a measurement cycle based on the detected motion pattern; and

measure the frequency distribution according to the measurement cycle.