Method and system for detecting abnormal sounds

Abstract

The invention discloses a method and system for detecting abnormal sounds. The method includes the steps that short-time energy of each frame of a collected audio signal is compared with a first short-time energy threshold value, if the short-time energy is larger than the first short-time energy threshold value, the corresponding frames are recorded to be first-grade frames, if the short-time energy is smaller than the first short-time energy threshold value, the short-time energy of each frame of the collected audio signal is compared with a second threshold value or the zero-crossing rate of each frame of the collected audio signal is compared with a zero-passing rate threshold value, the frames with the short-time energy larger than the second short-time energy threshold value or the zero-passing rates larger than the zero-passing rate threshold value are recorded to be second-grade frames, and when the number of the continuous frames which are the first-stage frames or the second-stage frames is larger than N and the current frame is the first-stage frame, it is judged that the sounds are abnormal. By means of the method, the abnormal sounds are judged by calculating the short-time energy and the zero-passing rates; as the short-time energy and the zero-passing rates belong to the time domain characteristics and are not related to frequency domain conversion and characteristic parameter calculating, the calculating complexity can be lowered. Meanwhile, as audio information collected in real time is processed, real-time processing and real-time analysis can be carried out, and abnormality can be judged in time.

Description

technical field [0001] The invention relates to the field of sound detection, in particular to an abnormal sound detection method and system. Background technique [0002] In recent years, security issues have become the focus of social attention, and video surveillance systems have been widely developed in security and other fields. However, the current video surveillance system is mainly based on video signals, and video analysis has certain limitations. For example, the quality of the collected video images is easily affected by factors such as weather, illumination changes, and mutual occlusion between objects, and the image processing algorithm is complex and the computational complexity is high. Compared with video signals, audio signals are widely distributed and contain a large amount of information. They are easy to analyze and have low computational complexity, which can assist the video analysis of video surveillance systems. In some cases, audio signals can eve...

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to provide a method and system for abnormal sound detection with low computational complexity for the problem of large amount of calculation

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