Selective Background Adaptation Based Abnormal Acoustic Event Recognition for Audio Surveillance


In this paper, a method for abnormal acoustic event recognition in an audio surveillance system is presented. We propose a recognition scheme based on a hierarchical structure using a feature combination of Mel-Frequency Cepstral Coefficient (MFCC), timbre, and spectral statistics. A selective background adaptation is proposed for robust abnormal acoustic… (More)
DOI: 10.1109/AVSS.2012.65


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