Abnormal public place sound feature extraction and recognition method

A technology for abnormal sounds and public places, applied in speech recognition, speech analysis, instruments, etc., can solve the problem of long time-consuming decomposition of abnormal sound signals, and achieve the effect of improving recognition ability

Active Publication Date: 2016-12-14
CHONGQING UNIV
View PDF4 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

④ When the ESMD method decomposes abnormal sound signals in public places, set the number of screening K in the interval [K min , K max ], and then use different screening times to repeatedly de...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Abnormal public place sound feature extraction and recognition method
  • Abnormal public place sound feature extraction and recognition method
  • Abnormal public place sound feature extraction and recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The present invention is further described in detail below in conjunction with the accompanying drawings.

[0048] The core technology of the present invention is the D-ESMD decomposition method. The D-ESMD decomposition method is an improvement based on the ESMD decomposition method, and its improvement points are:

[0049] 1. The ESMD decomposition method based on T distribution is used to weaken the background noise component in the modal component, so as to better extract the characteristics of abnormal sounds. Specific steps are as follows:

[0050] Add random T distribution sequence to the sound signal to be recognized, weaken the background noise component in the modal component, reduce the decomposition deviation caused by the background noise from the source, and improve the feature extraction ability of abnormal sound. The specific processing process is:

[0051] Assuming that the abnormal sound signal in public places is X(t), it generally consists of the ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an abnormal public place sound extraction and recognition method for improving extreme-point symmetric mode decomposition (ESMD), abbreviated as D-ESMD. The method is characterized in that random T distribution sequence signals are added to abnormal public place sound, thereby reducing the influence of public place background noise on abnormal sound feature extraction; aiming at the problem of poor decomposition effect of original ESMD when abnormal sound is decomposed, a method for replacing extreme midpoint odd-even interpolation with symmetric midpoint interpolation is put forward to improve the decomposition efficiency and recognition rate of abnormal sound; aiming at the defects of original ESMD on effective decomposition mode selection, a permutation entropy algorithm is put forward to detect the complexity of the mode obtained by ESMD decomposition, so that an effective mode component of abnormal sound is adaptively obtained. By using the method, the feature of abnormal sound can be sufficiently described, good class recognition results can be obtained, and the feature of abnormal sound can be accurately extracted; and the method has good robustness on environmental background noise.

Description

technical field [0001] The invention belongs to the technical field of audio signal feature extraction and pattern recognition, and in particular relates to a method for feature extraction and identification of abnormal sounds in public places. Background technique [0002] Public places such as squares, bus stations, subways, etc. have the characteristics of large flow of people and wide areas, and the safety precautions of public places have always been widely concerned by governments and people of all countries. At present, the monitoring technology mainly based on video monitoring has played a positive role in the safety of public places. However, video monitoring technology has problems such as monitoring dead spots and blurry monitoring in rainy days. As we all know, when abnormal events occur, they are often accompanied by abnormal sounds such as screams, gunshots, broken glass, explosions, etc. Therefore, the cooperative operation of audio monitoring and video monito...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G10L15/02G10L15/06G10L15/08G10L15/20G10L15/22
CPCG10L15/02G10L15/063G10L15/08G10L15/20G10L15/22
Inventor 李伟红田真真龚卫国王伟冰
Owner CHONGQING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap