Detail publikace

Audio Event Database Collected for Gunshot Detection in Open Nature (GUDEON)

Originální název

Audio Event Database Collected for Gunshot Detection in Open Nature (GUDEON)

Anglický název

Audio Event Database Collected for Gunshot Detection in Open Nature (GUDEON)

Jazyk

en

Originální abstrakt

This paper introduces a very specific database of audio events related to hunting wild elephants by poachers in open nature. The database contains gunshots, other sounds to express local audio diversity, and mixtures of these. The relatively small variability of gunshot signals together with the variability of extracted features were statistically evaluated. Gunshot detections were estimated using four basic feature sets separately. The created database is appropriate for developing methods of automatic gunshot detection from continuous audio signals that are suitable for implementation in low power remote monitoring systems.

Anglický abstrakt

This paper introduces a very specific database of audio events related to hunting wild elephants by poachers in open nature. The database contains gunshots, other sounds to express local audio diversity, and mixtures of these. The relatively small variability of gunshot signals together with the variability of extracted features were statistically evaluated. Gunshot detections were estimated using four basic feature sets separately. The created database is appropriate for developing methods of automatic gunshot detection from continuous audio signals that are suitable for implementation in low power remote monitoring systems.

BibTex


@article{BUT155733,
  author="Martin {Hrabina} and Milan {Sigmund}",
  title="Audio Event Database Collected for Gunshot Detection in Open Nature (GUDEON)",
  annote="This paper introduces a very specific database of audio events related to hunting wild elephants by poachers in open nature. The database contains gunshots, other sounds to express local audio diversity, and mixtures of these. The relatively small variability of gunshot signals together with the variability of extracted features were statistically evaluated. Gunshot detections were estimated using four basic feature sets separately. The created database is appropriate for developing methods of automatic gunshot detection from continuous audio signals that are suitable for implementation in low power remote monitoring systems.",
  address="Audio Engineering Society",
  chapter="155733",
  doi="10.17743/jaes.2018.0075",
  institution="Audio Engineering Society",
  number="1-2",
  volume="67",
  year="2019",
  month="january",
  pages="54--59",
  publisher="Audio Engineering Society",
  type="journal article in Web of Science"
}