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Detail publikačního výsledku
HRABINA, M.; SIGMUND, M.
Originální název
Gunshot Recognition using Low Level Features in the Time Domain
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
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.
Anglický abstrakt
Klíčová slova
gunshot detection, feature extraction, time-domain features, audio processing
Klíčová slova v angličtině
Autoři
Rok RIV
2019
Vydáno
19.04.2018
Nakladatel
IEEE
ISBN
978-1-5386-2485-2
Kniha
Proceedings of 28th International Conference Radioelektronika 2018
Strany od
1
Strany do
5
Strany počet
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/" }
Dokumenty
PID5269693gunshot-recognition-vut