Realization of Algorithm for Wideband Sound Source Localization in Video Monitoring System

2013 ◽  
Vol 416-417 ◽  
pp. 1086-1091
Author(s):  
Lei Li ◽  
Yong Gang Su ◽  
Shen Tian ◽  
Yong Li ◽  
Zhi Tong Li

Video security monitoring has become the focus of social research and development; however, since the camera cannot automatically rotate, there is a blind spot in traditional security monitoring. Considering the abnormal often happens accompanied by corresponding sounds (e.g., where there is an explosion , there will be the sound of explosions), therefore, for compensating the blind spot , the auditory function can be added to the camera to track the direction of sound source automatically which requires the two-dimensional (2-D) localization of sound source to complete , at the mean time , the localization algorithm should be capable of tracking all of the source signals ,as well as be real-time to make the video tracking to be achieved by turning the camera toward sound source timely. This paper realizes the localization of wideband speech signal in video monitoring by using modern signal processing method, linear microphone array, positioning thought based on time delay estimation, frequency domain transform, and spectrum-search method based on energy value. Both the early simulation and late DSP-based embedded system platform have verified the feasibility of the method.

2013 ◽  
Vol 462-463 ◽  
pp. 298-301
Author(s):  
Dong Xie ◽  
Min Wang ◽  
Jian Qu Zhu ◽  
Feng Wang

The location of the sound source is an important technique for equipment failures diagnostic application. This paper design a specific fault sound location system for capturing the specific sound source and determine its orientation. The two functions of sound recognition and location system are combined. The frequency domain characteristics based on similarity calculation method is used to identify the sound signal. The source localization algorithm based on the time delay estimation is used to calculate the time difference of arrival sound signal. By method of combining hardware circuit preprocessing and software design, the orientation of positioning of sound source is determined by the known sound pickup arrays spatial position. The sound location system uses two piece of MCU to achieve its function with simplification efficient algorithm and high accuracy.


2017 ◽  
Vol 140 (1) ◽  
Author(s):  
Yaqiong Zhang ◽  
Ming Yang ◽  
Xinlei Zhu ◽  
Na Ta ◽  
Zhushi Rao

The Ormia ochracea, a species of parasitic fly, has a remarkable localization ability despite the tiny interaural distance compared with the incoming wavelength. The mechanical coupling between its ears enhances the differences of the two received signals, the main cues to locate the source. Inspired by the coupling mechanism, we present a miniature coupled two-microphone array for estimating sound source horizontal bearing. The coupled array consists of a standard two-microphone array and a two-input, two-output filter which implements the coupling. The relationship between filter parameters and time delay magnification is investigated to provide theoretical support for array design. With appropriate parameters, the time delay of received signals can be linearly magnified. Based on the linear magnification, we present a method for estimating source direction using the coupled array. The influence of time delay magnification on time delay estimation accuracy is explored through the general cross-correlation (GCC) method. Experiments are conducted to verify the coupled array and demonstrate its advantages on improving the resolution of estimation of time delay and accuracy of bearing estimation compared with the standard array with the same element spacing.


2013 ◽  
Vol 397-400 ◽  
pp. 2209-2214
Author(s):  
Chuan Yi Zhang ◽  
Chang Wei Mi ◽  
Pei Yang Yao

In the estimation of time delay, there always would not appear obvious peak with the basic cross-correlation (CC). In order to solve the problem of the basic cross-correlation method, this essay represents an improved time delay estimation method based on the generalized cross-correlation (GCC) and combines with the microphone array structure to achieve sound source localization. Finally, the simulation results show that this method could measure the sound source’s location accurately with noise and reverberation, and the distance positioning error is less than 10cm, the direction angle error is below 3°.


2017 ◽  
Vol 170 ◽  
pp. 169-176 ◽  
Author(s):  
Dhany Arifianto ◽  
Wirawan ◽  
B.T. Atmaja ◽  
Tutug Dhanardhono ◽  
Saptian A. Rahman

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