scholarly journals The geometry of sound-source localization using non-coplanar microphone arrays

2013 ◽  
Author(s):  
Xavier Alameda-Pineda ◽  
Radu Horaud ◽  
Bernard Mourrain
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Microphone Arrays ◽  
Sound Source Localization

Design and assessment of multiple-sound source localization using microphone arrays

2019 ◽  
Author(s):  
Daniel Gabriel ◽  
Ryosuke Kojima ◽  
Kotaro Hoshiba ◽  
Katsutoshi Itoyama ◽  
Kenji Nishida ◽  
...  
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Microphone Arrays ◽  
Sound Source Localization

Study on Mechanisms of a Mini-Instrument for Sound Source Localization

2011 ◽  
Vol 368-373 ◽  
pp. 624-628
Author(s):  
Qing Sheng Wang ◽  
Xin Jiang ◽  
Xiao Hang Liu
Keyword(s):  
Dynamic Behavior ◽  
Source Localization ◽  
Sound Source ◽  
Microphone Arrays ◽  
The Other ◽  
Sound Source Localization ◽  
Special Relationship ◽  
Ormia Ochracea ◽  
Compact Structure ◽  
New Instrument

Sound source localization is always of great value in many engineering applications. In this paper, a new instrument is designed to accomplish the purpose of localizing the sound source by a relatively compact structure. This bionics structure is designed to mimic the localization function of the ears of the parasitoid fly Ormia ochracea, and it consists of three elastic diaphragms, three bars which connected to the diaphragms, and the other mechanical components. The analysis of this structure’s dynamic behavior shows that the incident angles of the sound have special relationship to the responses of this instrument, and the incident angles can be estimated by detecting the vibrations of the three elastic diaphragms. Compared with traditional microphone arrays, this instrument has the advantage of compaction and higher integrated level.

scholarly journals Compressing Sensing Based Source Localization for Controlled Acoustic Signals Using Distributed Microphone Arrays

2017 ◽  
Vol 2017 ◽  
pp. 1-11
Author(s):  
Wei Ke ◽  
Xiunan Zhang ◽  
Yanan Yuan ◽  
Jianhua Shao
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Reconstruction Algorithm ◽  
Acoustic Signals ◽  
Substantial Improvement ◽  
Microphone Arrays ◽  
Sound Source Localization ◽  
Sound Sources ◽  
Reconstruction Performance ◽  
Long Time

In order to enhance the accuracy of sound source localization in noisy and reverberant environments, this paper proposes an adaptive sound source localization method based on distributed microphone arrays. Since sound sources lie at a few points in the discrete spatial domain, our method can exploit this inherent sparsity to convert the localization problem into a sparse recovery problem based on the compressive sensing (CS) theory. In this method, a two-step discrete cosine transform- (DCT-) based feature extraction approach is utilized to cover both short-time and long-time properties of acoustic signals and reduce the dimensions of the sparse model. In addition, an online dictionary learning (DL) method is used to adjust the dictionary for matching the changes of audio signals, and then the sparse solution could better represent location estimations. Moreover, we propose an improved block-sparse reconstruction algorithm using approximate l0 norm minimization to enhance reconstruction performance for sparse signals in low signal-noise ratio (SNR) conditions. The effectiveness of the proposed scheme is demonstrated by simulation results and experimental results where substantial improvement for localization performance can be obtained in the noisy and reverberant conditions.

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