Neural network classification of gunshots using spectral characteristics

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F11%3A43865874" target="_blank" >RIV/70883521:28140/11:43865874 - isvavai.cz</a>

Result on the web

—

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Neural network classification of gunshots using spectral characteristics

Original language description

The paper describes neural network classification of specific audio sources into given categories. Audio sources are represented by various gunshots, from handguns or big bore guns. This article is a follow-up to an existing system for localization of audio sources from security and military areas. The question of successful classification lies in the convenient discrimination of the feature vector in the feature vector space. A set of feature vectors based on power spectral density is evaluated a tested for the best classification of gunshots.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

JB - Sensors, detecting elements, measurement and regulation

OECD FORD branch

—

Project

<a href="/en/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2011

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Recent Researches in Automatic Control

ISBN

978-1-61804-004-6

ISSN

—

e-ISSN

—

Number of pages

6

Pages from-to

262-267

Publisher name

WSEAS Press

Place of publication

Montreux

Event location

Lanzarote

Event date

May 27, 2011

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—