Detail publikace

Implementation of Developed Gunshot Detection Algorithm on TMS320C6713 Processor

Originální název

Implementation of Developed Gunshot Detection Algorithm on TMS320C6713 Processor

Anglický název

Implementation of Developed Gunshot Detection Algorithm on TMS320C6713 Processor

Jazyk

en

Originální abstrakt

This paper deals with implementing a real-time gunshot detection algorithm on the digital signal processor TMS320C6713. The developed algorithm uses 3 linear predictive coding coefficients, energy in 3 spectral bands, and frame correlation. The audio input signal is continuously processed and signal frames considered to contain a gunshot are shortly signalized by an LED indicator. Experimental results achieved 82% correctly detected gunshots and 3% false alarms. The system should increase protection of wild elephants in Africa.

Anglický abstrakt

This paper deals with implementing a real-time gunshot detection algorithm on the digital signal processor TMS320C6713. The developed algorithm uses 3 linear predictive coding coefficients, energy in 3 spectral bands, and frame correlation. The audio input signal is continuously processed and signal frames considered to contain a gunshot are shortly signalized by an LED indicator. Experimental results achieved 82% correctly detected gunshots and 3% false alarms. The system should increase protection of wild elephants in Africa.

BibTex


@inproceedings{BUT127480,
  author="Martin {Hrabina} and Milan {Sigmund}",
  title="Implementation of Developed Gunshot Detection Algorithm on TMS320C6713 Processor",
  annote="This paper deals with implementing a real-time gunshot detection algorithm on the digital signal processor TMS320C6713. The developed algorithm uses 3 linear predictive coding coefficients, energy in 3 spectral bands, and frame correlation. The audio input signal is continuously processed and signal frames considered to contain a gunshot are shortly signalized by an LED indicator. Experimental results achieved 82% correctly detected gunshots and 3% false alarms. The system should increase protection of wild elephants in Africa.",
  booktitle="Proceedings of 2016 SAI Computing Conference",
  chapter="127480",
  howpublished="online",
  year="2016",
  month="july",
  pages="902--905",
  type="conference paper"
}