32-Channel Omni-Directional Microphone Array Design and Implementation

2011 ◽  
Vol 23 (3) ◽  
pp. 378-385 ◽  
Author(s):  
Yoko Sasaki ◽  
◽  
Tomoaki Fujihara ◽  
Satoshi Kagami ◽  
Hiroshi Mizoguchi ◽  
...  
Keyword(s):  
Microphone Array ◽  
Sound Sources ◽  
Directional Characteristic ◽  
Array Design ◽  
Design And Implementation ◽  
Directional Microphone ◽  
Reverberant Environments ◽  
Basic Performance ◽  
Exogenous Noise ◽  
Array Performance

This paper presents the design and evaluation of a microphone array. The proposed evaluation index is the directional characteristic of delay and sum beamforming, which is used to optimize the microphone array design. Using beamforming simulation, a microphone arrangement that minimizes sidelobes and improves the basic performance of beamforming is selected. The new hardware has omni-directional directivity and high tolerance for exogenous noise. It has 32 microphones on a 335-mm diameter disk designed to be mounted on a mobile robot. The microphone array performance is verified in different real environments. Experimental results in indoor/outdoor sound localization show the effectiveness of the array in reverberant environments and its robustness against different pressure sound sources for covering larger areas.

2A2-B02 32 channel Omni-directional Microphone Array Design and Outdoor Sound Localization

2010 ◽  
Vol 2010 (0) ◽  
pp. _2A2-B02_1-_2A2-B02_4
Author(s):  
Yoko SASAKI ◽  
Tomoaki FUJIHARA ◽  
Satoshi KAGAMI ◽  
Hiroshi MIZOGUCHI ◽  
Kyoichi ORO
Keyword(s):  
Sound Localization ◽  
Microphone Array ◽  
Array Design ◽  
Directional Microphone

Evolutionary Algorithm for Microphone Array Optimization

2011 ◽  
Vol 143-144 ◽  
pp. 287-292
Author(s):  
Jing Jing Yu ◽  
Fa Shan Yu
Keyword(s):  
Linear Array ◽  
Microphone Array ◽  
Statistical Geometry ◽  
Sound Sources ◽  
Fast Processing ◽  
Planar Array ◽  
Array Optimization ◽  
Practical Tool ◽  
Array Performance ◽  
Regular Arrays

This paper presented a genetic algorithm (GA) to optimize element placements of microphone array with the purpose of maximizing beamforming SNR for given possible distribution of sound sources. A function based on relationship between statistical geometry descriptors and array performance matrices was applied as the objective function of GA. Optimization experiments of 1D linear array and 2D planar array were performed to demonstrate that this algorithm can effectively sort out superior arrays with significant SNR improvements over randomly generated arrays and regular arrays. High successful rate, rapid convergence speed, and fast processing time observed in all the experiments demonstrate the feasibility of this algorithm as a practical tool for microphone array design.

Locating and tracking sound sources on a horizontal axis wind turbine using a compact microphone array based on beamforming

2019 ◽  
Vol 146 ◽  
pp. 295-309 ◽  
Author(s):  
Cui Qing Zhang ◽  
Zhi Ying Gao ◽  
Yong Yan Chen ◽  
Yuan Jun Dai ◽  
Jian Wen Wang ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Microphone Array ◽  
Horizontal Axis ◽  
Horizontal Axis Wind Turbine ◽  
Sound Sources

scholarly journals Observation of Vehicle Axles Through Pass-by Noise: A Strategy of Microphone Array Design

2013 ◽  
Vol 14 (4) ◽  
pp. 1654-1664 ◽  
Author(s):  
Patrick Marmaroli ◽  
Mikael Carmona ◽  
Jean-Marc Odobez ◽  
Xavier Falourd ◽  
Herve Lissek
Keyword(s):  
Microphone Array ◽  
Array Design

Performance of a highly directional microphone array in a multi-talker reverberant environment

2013 ◽  
Author(s):  
Sylvain Favrot ◽  
Christine R. Mason ◽  
Timothy M. Streeter ◽  
Joseph G. Desloge ◽  
Gerald Kidd
Keyword(s):  
Microphone Array ◽  
Directional Microphone ◽  
Reverberant Environment

An open-source spherical microphone array design

2015 ◽  
Vol 137 (4) ◽  
pp. 2193-2193
Author(s):  
John Granzow ◽  
Tim O'Brien ◽  
Darrell Ford ◽  
Yoo H. Yeh ◽  
Yoomi Hur ◽  
...  
Keyword(s):  
Open Source ◽  
Microphone Array ◽  
Array Design

scholarly journals The Role of Reverberation and Magnitude Spectra of Direct Parts in Contralateral and Ipsilateral Ear Signals on Perceived Externalization

2019 ◽  
Vol 9 (3) ◽  
pp. 460 ◽  
Author(s):  
Song Li ◽  
Roman Schlieper ◽  
Jürgen Peissig
Keyword(s):  
Speech Signal ◽  
Impulse Responses ◽  
Sound Sources ◽  
Reverberant Environments ◽  
Contralateral Ear ◽  
Listening Experiment ◽  
Binaural Sound

Several studies show that the reverberation and spectral details in direct sounds are two essential cues for perceived externalization of virtual sound sources in reverberant environments. The present study investigated the role of these two cues in contralateral and ipsilateral ear signals on perceived externalization of headphone-reproduced binaural sound images at different azimuth angles. For this purpose, seven pairs of non-individual binaural room impulse responses (BRIRs) were measured at azimuth angles of −90°, −60°, −30°, 0°, 30°, 60°, and 90° in a listening room. The magnitude spectra of direct parts were smoothed, and the reverberation was removed, either in left or right ear BRIRs. Such modified BRIRs were convolved with a speech signal, and the resulting binaural sounds were presented over headphones. Subjects were asked to assess the degree of perceived externalization for the presented stimuli. The result of the subjective listening experiment revealed that the magnitude spectra of direct parts in ipsilateral ear signals and the reverberation in contralateral ear signals are important for perceived externalization of virtual lateral sound sources.

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