Systems and methods for generating haptic effects associated with an envelope in audio signals
US-9576445-B2 · Feb 21, 2017 · US
US10388122B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10388122-B2 |
| Application number | US-201815918242-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 12, 2018 |
| Priority date | Sep 6, 2013 |
| Publication date | Aug 20, 2019 |
| Grant date | Aug 20, 2019 |
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Systems and methods for generating haptic effects associated with audio signals are disclosed. One disclosed system for outputting haptic effects includes a processor configured to: receive an audio signal; determine a haptic effect based in part on the audio signal by: identifying one or more components in the audio signal; and determining a haptic effect associated with the one or more components; and output a haptic signal associated with the haptic effect.
Opening claim text (preview).
What is claimed: 1. A system for identifying haptic effects from audio signals comprising: a processor configured to: receive an audio signal configured to be output by an audio output device to output an audible effect; identify one or more audio components in the audio signal; identify background noises in the audio signal; determine a haptic effect to be output by a haptic output device, the haptic effect associated with the one or more audio components; and store the haptic effect in a haptic track on a data store. 2. The system of claim 1 , wherein the processor is further configured to determine not to output a haptic effect associated with the background noises. 3. The system of claim 1 , wherein identifying one or more audio components of the audio signal comprises: receiving a signal associated with one or more audio components; dividing the audio signal into a plurality of segments; analyzing one of the plurality of segments to determine if one or more of the components is present; and classifying the segment based on a presence of one or more of the components. 4. The system of claim 3 , wherein analyzing one of the plurality of segments comprises implementing an acoustic event detection technique. 5. The system of claim 4 , wherein the acoustic event detection technique comprises automatic speech recognition. 6. The system of claim 3 , wherein classifying one of the plurality of segments comprises comparing the segment to a database of data associated with the one or more components. 7. The system of claim 3 , wherein determining a haptic effect comprises assigning a haptic effect based on the classification of the segment. 8. The system of claim 1 , wherein identifying one or more audio components of the audio signal comprises isolating speech in the audio signal. 9. The system of claim 1 , wherein identifying one or more audio components of the audio signal comprises isolating sounds associated with action effects in the audio signal. 10. The system of claim 1 , further comprising a haptic output device configured to receive the haptic signal and output the haptic effect. 11. A method for identifying haptic effects from audio signals comprising: receiving an audio signal configured to be output by an audio output device to output an audible effect; identifying one or more audio components in the audio signal; identifying background noises in the audio signal; determining a haptic effect to be output by a haptic output device, the haptic effect associated with the one or more audio components; and storing the haptic effect in a haptic track on a data store. 12. The method of claim 11 , further comprising determining not to output a haptic effect associated with the background noises. 13. The method of claim 11 , wherein identifying one or more audio components of the audio signal comprises: receiving a signal associated with one or more audio components; dividing the audio signal into a plurality of segments; analyzing one of the plurality of segments to determine if one or more of the components is present; and classifying the segment based on a presence of one or more of the components. 14. The method of claim 13 , wherein analyzing one of the plurality of segments comprises implementing an acoustic event detection technique. 15. The method of claim 14 , wherein the acoustic event detection technique comprises automatic speech recognition. 16. The method of claim 13 , wherein classifying one of the plurality of segments comprises comparing the segment to a database of data associated with the one or more components. 17. The method of claim 13 , wherein determining a haptic effect comprises assigning a haptic effect based on the classification of the segment. 18. The method of claim 11 , wherein identifying one or more audio components of the audio signal comprises isolating speech in the audio signal. 19. The method of claim 11 , wherein identifying one or more audio components of the audio signal comprises isolating sounds associated with action effects in the audio signal. 20. A non-transitory computer readable medium comprising program code, which when executed by a processor, is configured to cause the processor to: receive an audio signal configured to be output by an audio output device to output an audible effect; identify one or more audio components in the audio signal; identify background noises in the audio signal; determine a haptic effect to be output by a haptic output device, the haptic effect associated with the one or more audio components; and store the haptic effect in a haptic track on a data store. 21. The system of claim 1 , wherein the processor is further configured to output a haptic signal associated with the haptic effect to the haptic output device. 22. The method of claim 11 , further comprising outputting a haptic signal associated with the haptic effect to the haptic output device. 23. The non-transitory computer readable medium of claim 20 , further comprising program code, which when executed by the processor is configured to cause the processor to output a haptic signal associated with the haptic effect to the haptic output device.
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