Abstract
A method for automatic determination of position of chosen sound events such as speech signals and impulse sounds in 3-dimensional space is presented. The events are localized in the presence of sound reflections employing acoustic vector sensors. Human voice and impulsive sounds are detected using adaptive detectors based on modified peak-valley difference (PVD) parameter and sound pressure level. Localization based on signals from the multichannel acoustic vector probe is performed upon the detection. The described algorithms can be useful in a surveillance systems to monitor the behavior of participants of public events. The results can be used to detect the position of sound source in real time or to calculate the spatial distribution of sounds in the environment. Moreover, spatial filtration can be performed to separate the sounds coming from the chosen direction.
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