Abstract
A computing device (e.g., a smartphone, a laptop computer, a tablet computer, a smartwatch, etc.) may monitor a media presentation and adjust the media presentation based on a detected real-life context. The computing device may use microphones and/or other sensors (e.g., position sensor, accelerometer sensor, pressure sensor, temperature sensor, force sensor, vibration sensor, piezo sensor, humidity sensor, etc.) to detect the context. The computing device may evaluate the media presentation and identify media elements. Based on the identified media elements and the context, the computing device may mute or censor potentially distracting, dangerous, or undesirable sounds or images for the context. For example, sounds and noises from media presentations may be mistaken for real-life sounds, which may be distracting in certain environments. When driving a car, context-related noises, such as honk sounds, crash or brake/engine sounds, traffic sounds, and yelling, may distract the driver resulting in unsafe driving. The computing device may improve safety by muting these distracting noises from the media presentation.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Sedouram, Ramprasad and Pai B P, Puneetha, "REMOVING POTENTIAL DISTURBANCES FROM AUDIO BASED ON CONTEXT", Technical Disclosure Commons, (June 22, 2022)
https://www.tdcommons.org/dpubs_series/5217