Abnormal sound detection method and system of background noise adaption

Abstract

The present invention relates to an abnormal sound detection method and system of background noise adaption. The system comprises a universal module, also comprises an energy sharp rise detection module comprising a background noise timeout no-updating detection module, a background noise determination module, a background noise energy updating module, an abnormal sound signal energy module, an energy sharp rise determination module, a sharp rise continuous frame determination module and an output energy sharp rise alarm signal module, and further comprises a background noise sharp drop detection module. According to the present invention, the whole processing process is in a time domain and is small in operand and low in complexity by being compared with the frequency domain processing, an energy sharp rise detection method is provided originally, the background noise and the sound signal energy are separated simply, the difference value detection of the sound signal energy and the background noise energy is used, and an abnormal sound alarm threshold can be adjusted automatically according to the change of the background noise energy, and the limitation of a hard threshold is avoided effectively, thereby realizing an abnormal sound detection function of the background noise energy adaption.

Description

[0001] (1) Technical field [0002] The invention relates to the field of sound signal processing, in particular to a background noise self-adaptive abnormal sound detection method and system. [0003] (2) Background technology [0004] In daily life, various emergencies will produce abnormal sounds, which can be detected and analyzed to push alarm information to users, which can effectively prevent abnormal events. For example, the abnormally fluctuating sound signal when the warehouse is stolen, the shouting and fighting sound of the user in the ATM self-service bank when the user is robbed, and the abnormally reduced sound caused by the machine stopping in the factory, etc., can obtain alarm information through abnormal sound detection to reduce the threat to user personal safety and property damage. [0005] A typical abnormal sound detection method and device CN201410850883.5, which uses spectrograms to construct a method for identifying feature matrices, which is relativ...

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Problems solved by technology

[0005] A typical abnormal sound detection method and device CN201410850883.5, which uses spectrograms to construct a method for identifying feature matrices, which is relatively complex in time-domain operations, and is difficult to integrate in embedded devices with limited resources, and real-time The performance cannot be guaranteed; and the invention needs to train the abnormal sound sample library in advance. In the field of security monitoring, various abnormal sounds are unpredictable, and the sample library cannot cover all types of abnormal sounds. It is necessary to call the police immediately. At this time, what needs to be detected is the abnormal fluctuation of the sound signal, not the classification of the abnormal sound, so the detection of abnormal sound based on classification may fail

[0006] Abnormal sound detection method and system CN201410765322.5, which uses time-domain energy and zero-crossing rate as the basis of calculation, but it does not consider the background noise. The sound signal picked up by the microphone mainly includes target sound and background noise, such as in ATM self-service banks The picked up sounds may include street noise, rain, wind, etc. If such sounds are not removed through a certain algorithm, the false alarm rate of abnormal sound detection will be high

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