In the paper an automatic sound recognition system is presented. It forms a part of a larger security system developed in order to monitor outdoor conditions for non-typical audio-visual events. The analyzed audio signal is being recorded from a microphone mounted outdoor thus non-stationary noise of a significant energy may be present in it. In the paper an especially designed algorithm for an outdoor noise reduction is presented, non-typical events in audio stream are automatically detected and parameterized. Parameter values of various audio events are analyzed and sounds are automatically recognized. The automatic recognition accuracy obtained for various feature vectors and some chosen recognition systems is compared. The conclusions are derived and a future plan of experiments is proposed.
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