Gunshot Recognition using Low Level Features in the Time Domain
| dc.contributor.author | Hrabina, Martin | cs |
| dc.contributor.author | Sigmund, Milan | cs |
| dc.date.accessioned | 2018-10-21T11:50:35Z | |
| dc.date.available | 2018-10-21T11:50:35Z | |
| dc.date.issued | 2018-04-19 | cs |
| dc.description.abstract | 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. | en |
| dc.format | text | cs |
| dc.format.extent | 1-5 | cs |
| dc.format.mimetype | application/pdf | cs |
| dc.identifier.citation | Proceedings of 28th International Conference Radioelektronika 2018. 2018, p. 1-5. | en |
| dc.identifier.doi | 10.1109/RADIOELEK.2018.8376372 | cs |
| dc.identifier.isbn | 978-1-5386-2485-2 | cs |
| dc.identifier.other | 147072 | cs |
| dc.identifier.uri | http://hdl.handle.net/11012/83819 | |
| dc.language.iso | en | cs |
| dc.publisher | IEEE | cs |
| dc.relation.ispartof | Proceedings of 28th International Conference Radioelektronika 2018 | cs |
| dc.relation.uri | https://ieeexplore.ieee.org/document/8376372/ | cs |
| dc.rights | Creative Commons Attribution-ShareAlike 3.0 Unported | cs |
| dc.rights.access | openAccess | cs |
| dc.rights.uri | http://creativecommons.org/licenses/by-sa/3.0/ | cs |
| dc.subject | gunshot detection | en |
| dc.subject | feature extraction | en |
| dc.subject | time-domain features | en |
| dc.subject | audio processing | en |
| dc.title | Gunshot Recognition using Low Level Features in the Time Domain | en |
| dc.type.driver | conferenceObject | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | acceptedVersion | en |
| sync.item.dbid | VAV-147072 | en |
| sync.item.dbtype | VAV | en |
| sync.item.insts | 2020.03.31 09:56:59 | en |
| sync.item.modts | 2020.03.31 07:38:58 | en |
| thesis.grantor | Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav radioelektroniky | cs |
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