Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Recognizing and locating method for abnormal sound in public places

A technology for abnormal sounds and public places, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of abnormally sensitive initial value selection, large amount of calculation, and failure to reach

Active Publication Date: 2013-07-10
无锡厉鲨人工智能科技有限公司
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Under the premise of satisfying the maximum likelihood criterion, this kind of method aligns the beam formed by the microphone array with the abnormal sound source by means of search, so as to obtain the maximum output power. When all searches are used, the calculation amount is very large. The iterative method is extremely sensitive to the selection of the initial value, and often fails to meet the expected requirements in practical applications

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
  • Recognizing and locating method for abnormal sound in public places
  • Recognizing and locating method for abnormal sound in public places
  • Recognizing and locating method for abnormal sound in public places

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] Further elaborate the present invention below in conjunction with accompanying drawing:

[0055] see figure 2 , this method is divided into two parts: an abnormal sound identification method and an abnormal sound localization method:

[0056] 1. Judgment and identification method of abnormal sound

[0057] 1) A suspected abnormal sound segment is detected through the double threshold threshold, and the change rate of the power spectral density map of the sound segment at 3875-4200hz is calculated, and compared with the preset threshold to determine whether there is an abnormality. 2) Convert the characteristic time-series signal of abnormal sounds into spectrograms in the time-frequency domain, and then classify and identify abnormal sounds spectrograms by Independent Component Analysis (ICA) and Sparse Representation Classification (SRC).

[0058] 2. Abnormal sound location method

[0059] Perform nonlinear transformation on the signal determined to be an abnormal ...

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 a recognizing and locating method for abnormal sound in public places, which belongs to the technical field of audio signal processing. The method uses a double-threshold algorithm and a Welch method to estimate a power spectrum to judge whether the abnormal sound exists in the public places. Feature sequence signals of the abnormal sound are converted into a spectrogram of a time-frequency domain, and problems of feature extraction and classification recognizing of the abnormal sound are solved by using the sparse coding sound recognition technology sensed by hearing. In order to restrain effects of pulse noise in background noise on the abnormal sound locating, non-linear transformation is introduced, and cross-correlation function peak capacity of the abnormal sound is improved. A traditional harmonic balance (HB) weight function is modified, and weight changes caused by low signal-to-noise ration are lowered. Multi-frame data weight processing is introduced, a novel HB weight generalized cross correlation algorithm is suitable for capacity for processing abnormal sound locating in complex acoustic environments in the public places. Due to the fact thatthe method is combined with the sparse coding sound recognition technology based on hearing sense and the modified sound locating technology of time difference of arrival, sound information accompanied with abnormal events can be utilized better, and intelligent level of a monitoring system in the public places can be improved.

Description

technical field [0001] The invention belongs to the technical fields of audio signal processing, pattern recognition and array signal processing. Background technique [0002] Public places refer to various places where the public engages in social life. Various dangerous incidents, traffic incidents, criminal incidents, etc. that occur in people's daily production activities in public places are closely related to the safety of people's lives and property. At present, video surveillance platforms in public places with video surveillance as the core technology have been built to varying degrees in various places, which have played a positive role in reducing crime rates, improving the efficiency of solving crimes and scientific evidence collection. However, most of the existing video surveillance platforms implement manual surveillance plus video surveillance in important places and important time periods. In general places, video cameras are used for video surveillance. ...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G10L15/02G10L21/02G10L19/02G10L15/28G10L19/107
Inventor 李伟红刘鹏龚卫国汤海兵张智龙仲建华
Owner 无锡厉鲨人工智能科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com