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Real-Time Detection of Impulsive Sounds for Audio Surveillance Systems

The monitoring of dangerous audio events is very important in surveillance systems. One of the most significant phase in audio surveillance is the detection of impulsive sounds (IS). It is considered as a preprocessing stage prior to the recognition phase. We propose in this paper an indoor audio monitoring software to detect IS in real-time. It is composed of three main stages: (i) audio acquisition, (ii) preprocessing module and (iii) sound detector. We have used MEMS microphone to acquire the audio data. The preprocessing stage aims at tuning the microphone sensitivity. It is used to mask the non-desired frequency components of the environment by adding white noise. The detection of IS is conducted using a thresholding scheme based on normalized form of power sequences. The proposed prototype is running under Windows 7 on an ordinary laptop. The results we have obtained are very promising.