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Convention Paper

Further Developments of Parameterization Methods of Audio Stream Analysis for Security Purposes

Authors: Zwan, Pawel; Czyzewski, Andrzej

AES Convention 126 · Paper 7818 · May 2009

Abstract

The paper presents an automatic sound recognition algorithm intended for application in an audiovisual security monitoring system. A distributed character of security systems does not allow for simultaneous observation of multiple multimedia streams, thus an automatic recognition algorithm must be introduced. In the paper, a module for the parameterization and automatic detection of audio events is described. The spectral analyses of sounds of a broken window, gunshot and scream are performed and parameterization methods are proposed and discussed. Moreover, a sound classification system based on the Support Vector Machines (SVM) algorithm is presented and its accuracy is discussed. The practical application of the system with the use of a monitoring station is shown. The plan of further experiments is presented and the conclusions are derived.

Details

Published in
AES Convention 126
AES Convention
126
Paper number
7818
Publication date
May 6, 2009
Session subject
Signal Analysis, Measurements, Restoration
Affiliation
Gdansk University of Technology, Gdansk, Poland (See document for exact affiliation information.)
Type
Convention Paper