A method of automatic recognition of regular voice, raised voice and scream used for audio surveillance system is presented. The algorithm for detection of voice activity in a noisy environment is discussed. Signal features used for sound classification, based on energy, spectral shape and tonality are introduced. Sound feature vectors are processed by a fuzzy classifier. The method is employed in an audio surveillance system working in real-time both in an indoor and outdoor environment. Achieved results of classifying real sound signals are presented and discussed.

Authors: Lopatka, Kuba; Czyzewski, Andrzej
Affiliation: Gdansk University of Technology, Gdansk, Poland
AES Convention: 132 (April 2012) Paper Number: 8636
Publication Date: April 26, 2012
Subject: Analysis and Synthesis and Content Management

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