Detail publikace

Comparison of Feature Performance in Gunshot Detection Depending on Noise Degradation

HRABINA, M. SIGMUND, M.

Originální název

Comparison of Feature Performance in Gunshot Detection Depending on Noise Degradation

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper compares three different features and various feature orders for the purpose of determining the best feature for gunshot detection under adverse noise condition. Compared features cover LPC, LPCC and MFCC with orders from 8 to 30. All features were extracted from sounds with the sound-to-noise ratios 30, 20, 10, and 0 dB. The background noise was simulated by white noise. Experimental results indicate that LPC coefficients are the most efficient features, especially for low noise. On the other hand, MFCC performed well in noisy environments at 10 dB and 20 dB.

Klíčová slova

gunshot detection, feature analysis, linear predictive coding coefficients, cepstrum, noise

Autoři

HRABINA, M.; SIGMUND, M.

Vydáno

19. 4. 2017

Místo

Brno

ISBN

978-1-5090-4591-4

Kniha

Proceedings of 27th International Conference Radioelektronika 2017

Strany od

223

Strany do

226

Strany počet

4

URL

https://ieeexplore.ieee.org/document/7937601

BibTex

@inproceedings{BUT135464,
  author="Martin {Hrabina} and Milan {Sigmund}",
  title="Comparison of Feature Performance in Gunshot Detection Depending on Noise Degradation",
  booktitle="Proceedings of 27th International Conference Radioelektronika 2017",
  year="2017",
  pages="223--226",
  address="Brno",
  doi="10.1109/RADIOELEK.2017.7937601",
  isbn="978-1-5090-4591-4",
  url="https://ieeexplore.ieee.org/document/7937601"
}