Detail publikace

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

HRABINA, M.

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

signal processing, feature extraction, gunshot detection, LPC coefficients

Autoři

HRABINA, M.

Vydáno

20. 6. 2017

ISBN

978-1-5090-1411-8

Kniha

Proceedings of the 2017 IEEE International Symposium on Industrial Electronics

Strany od

1961

Strany do

1965

Strany počet

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"
}