scholarly journals Real-Time Sound Source Localization for a Mobile Robot Based on the Guided Spectral-Temporal Position Method

10.5772/51307 ◽  
2012 ◽  
Vol 9 (3) ◽  
pp. 78 ◽  
Author(s):  
Xiaofei Li ◽  
Miao Shen ◽  
Wenmin Wang ◽  
Hong Liu
Keyword(s):  
Mobile Robot ◽  
Real Time ◽  
Source Localization ◽  
Sound Source ◽  
Sound Source Localization ◽  
Temporal Position

Real-time sound source localization using hybrid framework

2013 ◽  
Vol 74 (12) ◽  
pp. 1367-1373 ◽  
Author(s):  
Yilu Zhao ◽  
Xiong Chen ◽  
Bin Wang
Keyword(s):  
Real Time ◽  
Source Localization ◽  
Sound Source ◽  
Sound Source Localization ◽  
Hybrid Framework

Real-time sound source localization system based on FPGA

2008 ◽  
Author(s):  
Seunghun Jin ◽  
Dongkyun Kim ◽  
Hyung Soon Kim ◽  
Chang Hoon Lee ◽  
Jong Suk Choi ◽  
...  
Keyword(s):  
Real Time ◽  
Source Localization ◽  
Sound Source ◽  
Sound Source Localization ◽  
Localization System

Assessment of MUSIC-Based Noise-Robust Sound Source Localization with Active Frequency Range Filtering

2018 ◽  
Vol 30 (3) ◽  
pp. 426-435 ◽  
Author(s):  
Kotaro Hoshiba ◽  
Kazuhiro Nakadai ◽  
Makoto Kumon ◽  
Hiroshi G. Okuno ◽  
◽  
...  
Keyword(s):  
Real Time ◽  
Source Localization ◽  
Sound Source ◽  
Microphone Array ◽  
Sound Source Localization ◽  
Noise Robustness ◽  
Frequency Range ◽  
Real Time Processing ◽  
Time Processing ◽  
Localization Method

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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