Publication detail

Analysis of Linear Predictive Coefficients for Gunshot Detection Based on Neural Networks

HRABINA, M.

Original Title

Analysis of Linear Predictive Coefficients for Gunshot Detection Based on Neural Networks

Type

conference paper

Language

English

Original Abstract

This work deals with analysis of the linear predictive coefficients with respect to their use for acoustic gunshot detection. First, coefficient stability was observed when changing length and position of an analysed signal frame. Then, the optimal prediction order was investigated. Finally, false alarms and correct gunshot detections were tested for various numbers of coefficients. The best experimental results achieved were 8.6% false alarm rate and 88% gunshot detection rate.

Keywords

signal processing, feature extraction, gunshot detection, LPC coefficients

Authors

HRABINA, M.

Released

20. 6. 2017

ISBN

978-1-5090-1411-8

Book

Proceedings of the 2017 IEEE International Symposium on Industrial Electronics

Pages from

1961

Pages to

1965

Pages count

5

BibTex

@inproceedings{BUT137460,
  author="Martin {Hrabina}",
  title="Analysis of Linear Predictive Coefficients for Gunshot Detection Based on Neural Networks",
  booktitle="Proceedings of the 2017 IEEE International Symposium on Industrial Electronics",
  year="2017",
  pages="1961--1965",
  doi="10.1109/ISIE.2017.8001552",
  isbn="978-1-5090-1411-8"
}