Abstract
A described real-time, bio-adaptive audio modification system can operate on a consumer device, such as a smartphone, tablet, or wearable device. The system may use a multi-stage artificial intelligence pipeline to predict potentially startling events from concurrent video and audio streams. It can then use generative source decomposition to isolate a specific sound and apply neural re-synthesis to transform its acoustic characteristics into a form with a potentially reduced physiological impact. System intervention can be dynamically modulated by real-time biometric data from a user, such as heart rate variability, which can provide a proactive, personalized method to reduce physiological responses to audio while seeking to maintain narrative context.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Kumar, Nikhil, "Real-Time Bio-Adaptive Audio Modification Using Predictive Analysis and Generative Re-Synthesis", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10103