An Improved Multiple Sound Source Localization Method Using a Uniform Concentric Circular Microphone Array

We have studied sound source localization, using a microphone array embedded on a UAV (unmanned aerial vehicle), for the purpose of detecting for people to rescue from disaster-stricken areas or other dangerous situations, and we have proposed sound source localization methods for use in outdoor environments. In these methods, noise robustness and real-time processing have a trade-off relationship, which is a problem to be solved for the practical application of the methods. Sound source localization in a disaster area requires both noise robustness and real-time processing. For this we propose a sound source localization method using an active frequency range filter based on the MUSIC (MUltiple Signal Classification) method. Our proposed method can successively create and apply a frequency range filter by simply using the four arithmetic operations, so it can ensure both noise robustness and real-time processing. As numerical simulations carried out to compare the successful localization rate and the processing delay with conventional methods have affirmed the usefulness of the proposed method, we have successfully produced a sound source localization method that has both noise robustness and real-time processing.

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Design and Assessment of Sound Source Localization System with a UAV-Embedded Microphone Array

Journal of Robotics and Mechatronics ◽

10.20965/jrm.2017.p0154 ◽

2017 ◽

Vol 29 (1) ◽

pp. 154-167 ◽

Cited By ~ 5

Author(s):

Kotaro Hoshiba ◽

◽

Osamu Sugiyama ◽

Akihide Nagamine ◽

Ryosuke Kojima ◽

...

Keyword(s):

Source Localization ◽

Sound Source ◽

Microphone Array ◽

Outdoor Environment ◽

Sound Source Localization ◽

Detection Accuracy ◽

Localization Method ◽

Localization System ◽

Target Sound ◽

Sound Environment

[abstFig src='/00290001/15.jpg' width='300' text='Visualization of localization result' ] We have studied on robot-audition-based sound source localization using a microphone array embedded on a UAV (unmanned aerial vehicle) to locate people who need assistance in a disaster-stricken area. A localization method with high robustness against noise and a small calculation cost have been proposed to solve a problem specific to the outdoor sound environment. In this paper, the proposed method is extended for practical use, a system based on the method is designed and implemented, and results of sound source localization conducted in the actual outdoor environment are shown. First, a 2.5-dimensional sound source localization method, which is a two-dimensional sound source localization plus distance estimation, is proposed. Then, the offline sound source localization system is structured using the proposed method, and the accuracy of the localization results is evaluated and discussed. As a result, the usability of the proposed extended method and newly developed three-dimensional visualization tool is confirmed, and a change in the detection accuracy for different types or distances of the sound source is found. Next, the sound source localization is conducted in real-time by extending the offline system to online to ensure that the detection performance of the offline system is kept in the online system. Moreover, the relationship between the parameters and detection accuracy is evaluated to localize only a target sound source. As a result, indices to determine an appropriate threshold are obtained and localization of a target sound source is realized at a designated accuracy.

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3D Impulsive Sound-Source Localization Method through a 2D MEMS Microphone Array using Delay-and-Sum Beamforming

Proceedings of the 9th International Conference on Signal Processing Systems - ICSPS 2017 ◽

10.1145/3163080.3163094 ◽

2017 ◽

Cited By ~ 1

Author(s):

Sang-Woo Seo ◽

Myunggyu Kim

Keyword(s):

Source Localization ◽

Sound Source ◽

Microphone Array ◽

Sound Source Localization ◽

Localization Method ◽

Mems Microphone

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Sound Source Localization

Machine Audition ◽

10.4018/978-1-61520-919-4.ch006 ◽

2010 ◽

pp. 126-161 ◽

Cited By ~ 1

Author(s):

Banu Günel ◽

Hüseyin Hacihabiboglu

Keyword(s):

Source Localization ◽

Hearing Aids ◽

Sound Source ◽

Microphone Array ◽

Sound Source Localization ◽

Direction Of Arrival Estimation ◽

Multiple Sources ◽

Theoretical Evaluation ◽

Processing Methods ◽

Localization Method

Automatic sound source localization has recently gained interest due to its various applications that range from surveillance to hearing aids, and teleconferencing to human computer interaction. Automatic sound source localization may refer to the process of determining only the direction of a sound source, which is known as the direction-of-arrival estimation, or also its distance in order to obtain its coordinates. Various methods have previously been proposed for this purpose. Many of these methods use the time and level differences between the signals captured by each element of a microphone array. An overview of these conventional array processing methods is given and the factors that affect their performance are discussed. The limitations of these methods affecting real-time implementation are highlighted. An emerging source localization method based on acoustic intensity is explained. A theoretical evaluation of different microphone array geometries is given. Two well-known problems, localization of multiple sources and localization of acoustic reflections, are addressed.

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