In the paper an automatic sound recognition system is presented. It forms a part of a bigger security system developed in order to monitor outdoor places for non-typical audio-visual events. The analyzed audio signal is being recorded from a microphone mounted in an outdoor place thus a non stationary noise of a significant energy is present in it. In the paper an especially designed algorithm for outdoor noise reduction is presented, non-typical events in audio stream are automatically detected and parameterized. Parameter values of different audio events are analyzed and sounds are automatically recognized. The automatic recognition accuracy obtained for different feature vectors and different recognition systems is compared. The conclusions are derived and a future plan of experiments is proposed.
Authors
Additional information
- Category
- Aktywność konferencyjna
- Type
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language
- angielski
- Publication year
- 2008
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