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.
Authors:
Zwan, Pawel; Czyzewski, Andrzej
Affiliation:
Gdansk University of Technology, Gdansk, Poland
AES Convention:
126 (May 2009)
Paper Number:
7818
Publication Date:
May 1, 2009
Subject:
Signal Analysis, Measurements, Restoration
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