Detail publikace

Gunshot Recognition using Low Level Features in the Time Domain

HRABINA, M. SIGMUND, M.

Originální název

Gunshot Recognition using Low Level Features in the Time Domain

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper explores the possibility of using scarcely used time-domain features for the task of gunshot recognition. A set of 11 features derived from temporal characteristics (waveform) of signals is calculated from a mixed dataset of gunshots and non-gunshots. The features leverage the impulsive nature of gunshots and their dissimilarity to other, especially more stationary signals. The paper includes a description of feature extraction, distribution of features and their recognition performance on a selected audio dataset. A subset achieves promising results in comparison with more frequently used spectral-domain features. This makes them a valuable addition to other frequently used features, especially for tasks of impulsive sound recognition.

Klíčová slova

gunshot detection, feature extraction, time-domain features, audio processing

Autoři

HRABINA, M.; SIGMUND, M.

Vydáno

19. 4. 2018

Nakladatel

IEEE

ISBN

978-1-5386-2485-2

Kniha

Proceedings of 28th International Conference Radioelektronika 2018

Strany od

1

Strany do

5

Strany počet

5

URL

https://ieeexplore.ieee.org/document/8376372/

Plný text v Digitální knihovně

http://hdl.handle.net/11012/83819

BibTex

@inproceedings{BUT147072,
  author="Martin {Hrabina} and Milan {Sigmund}",
  title="Gunshot Recognition using Low Level Features in the Time Domain",
  booktitle="Proceedings of 28th International Conference Radioelektronika 2018",
  year="2018",
  pages="1--5",
  publisher="IEEE",
  doi="10.1109/RADIOELEK.2018.8376372",
  isbn="978-1-5386-2485-2",
  url="https://ieeexplore.ieee.org/document/8376372/"
}