Publication detail

Implementation of Developed Gunshot Detection Algorithm on TMS320C6713 Processor

HRABINA, M. SIGMUND, M.

Original Title

Implementation of Developed Gunshot Detection Algorithm on TMS320C6713 Processor

English Title

Implementation of Developed Gunshot Detection Algorithm on TMS320C6713 Processor

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

digital signal processing; acoustic signal analysis; gunshot detection; processor TMS320C6713

Released

15.07.2016

ISBN

978-1-4673-8460-5

Book

Proceedings of 2016 SAI Computing Conference

Edition number

1

Pages from

902

Pages to

905

Pages count

4

URL

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",
  doi="10.1109/SAI.2016.7556087",
  howpublished="online",
  year="2016",
  month="july",
  pages="902--905",
  type="conference paper"
}