Enables remote in-flight detection for localizing and classifying live speech and other acoustic signals
This revolutionary unmanned aerial acoustic platform enables covert acquisition, sensing, and characterization of live speech and other acoustic signals while in flight. The technology developed by Georgia Tech researchers has three components: 1) hardware dedicated to the acquisition of acoustic signals and the mitigation of unwanted noise; 2) software comprising advanced processing algorithms that include wavelets, adaptive filtering, acoustic beamforming, and speech detection to deliver clear audio auralization; and 3) a payload that integrates the hardware and software into a cohesive operating unit and then further integrates it with the flight platform.
The onboard payload can be used for standalone unmanned aerial system (UAS) acoustic sensing or to enhance intelligence, surveillance, and reconnaissance (ISR) missions on UAS platforms. The system uses beamforming to acquire speech and other acoustic signals for both static airborne platforms, such as quadcopters, and dynamic platforms that include forward flight fixed-wing UAVs. Algorithms assess the usability of the speech segments, separating it from background noise using wavelet methods, and perform automatic speaker identification from a database of known voice signatures.
Georgia Tech Office of Technology Licensing