Integration of Multiple Microphone Arrays and Use of Sound Reflections for 3D Localization of Sound Sources

2014 ◽  
Vol E97.A (9) ◽  
pp. 1867-1874 ◽  
Author(s):  
Carlos T. ISHI ◽  
Jani EVEN ◽  
Norihiro HAGITA
Keyword(s):  
Microphone Arrays ◽  
Sound Sources ◽  
3D Localization

scholarly journals Feasibility of Discriminating UAV Propellers Noise from Distress Signals to Locate People in Enclosed Environments Using MEMS Microphone Arrays

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 597
Author(s):  
Alberto Izquierdo ◽  
Lara del Val ◽  
Juan J. Villacorta ◽  
Weikun Zhen ◽  
Sebastian Scherer ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Micro Electro Mechanical System ◽  
Microphone Arrays ◽  
Heat Sources ◽  
Sound Sources ◽  
Mems Microphone ◽  
Aerial Vehicle ◽  
Acoustic Array ◽  
Alternative Techniques ◽  
The University

Detecting and finding people are complex tasks when visibility is reduced. This happens, for example, if a fire occurs. In these situations, heat sources and large amounts of smoke are generated. Under these circumstances, locating survivors using thermal or conventional cameras is not possible and it is necessary to use alternative techniques. The challenge of this work was to analyze if it is feasible the integration of an acoustic camera, developed at the University of Valladolid, on an unmanned aerial vehicle (UAV) to locate, by sound, people who are calling for help, in enclosed environments with reduced visibility. The acoustic array, based on MEMS (micro-electro-mechanical system) microphones, locates acoustic sources in space, and the UAV navigates autonomously by closed enclosures. This paper presents the first experimental results locating the angles of arrival of multiple sound sources, including the cries for help of a person, in an enclosed environment. The results are promising, as the system proves able to discriminate the noise generated by the propellers of the UAV, at the same time it identifies the angles of arrival of the direct sound signal and its first echoes reflected on the reflective surfaces.

Layout Optimization of Cooperative Distributed Microphone Arrays Based on Estimation of Source Separation Performance

2017 ◽  
Vol 29 (1) ◽  
pp. 83-93
Author(s):  
Kouhei Sekiguchi ◽  
◽  
Yoshiaki Bando ◽  
Katsutoshi Itoyama ◽  
Kazuyoshi Yoshii
Keyword(s):  
Mobile Robots ◽  
Microphone Array ◽  
Source Separation ◽  
Microphone Arrays ◽  
Separation Performance ◽  
Sound Sources ◽  
Multiple Mobile Robots ◽  
Position Information ◽  
Reconfigurable Array ◽  
Source Signals

[abstFig src='/00290001/08.jpg' width='300' text='Optimizing robot positions for source separation' ] The active audition method presented here improves source separation performance by moving multiple mobile robots to optimal positions. One advantage of using multiple mobile robots that each has a microphone array is that each robot can work independently or as part of a big reconfigurable array. To determine optimal layout of the robots, we must be able to predict source separation performance from source position information because actual source signals are unknown and actual separation performance cannot be calculated. Our method thus simulates delay-and-sum beamforming from a possible layout to calculate gain theoretically, i.e., the expected ratio of a target sound source to other sound sources in the corresponding separated signal. Robots are moved into the layout with the highest average gain over target sources. Experimental results showed that our method improved the harmonic mean of signal-to-distortion ratios (SDRs) by 5.5 dB in simulation and by 3.5 dB in a real environment.

Online Localization of Multiple Sound Sources and Multiple Robots with Asynchronous Microphone Arrays

2016 ◽  
Vol 2016 (0) ◽  
pp. 1A2-09b5
Author(s):  
Kouhei Sekiguchi ◽  
Yoshiaki bando ◽  
Keisuke Nakamura ◽  
Kazuhiro Nakadai ◽  
Katsutoshi Itoyama ◽  
...  
Keyword(s):  
Microphone Arrays ◽  
Multiple Robots ◽  
Sound Sources

Influence of blade skew on axial fan component noise

2017 ◽  
Vol 16 (4-5) ◽  
pp. 418-430 ◽  
Author(s):  
Gert Herold ◽  
Florian Zenger ◽  
Ennes Sarradj
Keyword(s):  
Test Chamber ◽  
Microphone Arrays ◽  
Blade Design ◽  
Axial Fan ◽  
Sound Sources ◽  
Acoustic Characteristics ◽  
Radiated Noise ◽  
Trailing Edges ◽  
Axial Fans ◽  
Operating Points

Microphone arrays can be used to detect sound sources on rotating machinery. For this study, experiments with three different axial fans, featuring backward-skewed, unskewed, and forward-skewed blades, were conducted in a standardized fan test chamber. The measured data are processed using the virtual rotating array method. Subsequent application of beamforming and deconvolution in the frequency domain allows the localization and quantification of separate sources, as appear at different regions on the blades. Evaluating broadband spectra of the leading and trailing edges of the blades, phenomena governing the acoustic characteristics of the fans at different operating points are identified. This enables a detailed discussion of the influence of the blade design on the radiated noise.

Acoustically Coupled Microphone Arrays

2016 ◽  
Vol 138 (6) ◽  
Author(s):  
R. N. Miles
Keyword(s):  
Mechanical Properties ◽  
Microphone Arrays ◽  
Dramatic Improvement ◽  
Small Animals ◽  
Noise Performance ◽  
Directional Response ◽  
Sound Sources ◽  
Acoustic Coupling ◽  
Back Volume ◽  
Acoustic Sensitivity

An analysis is presented of the performance benefits that can be achieved by introducing acoustic coupling between the diaphragms in an array of miniature microphones. The introduction of this coupling is analogous to the principles employed in the ears of small animals that are able to localize sound sources. Measured results are shown, which indicate a dramatic improvement in acoustic sensitivity, and noise performance can be achieved by packaging a pair of small microphones so that their diaphragms share a common back volume of air. This is also shown to reduce the adverse effects on directional response of mismatches in the mechanical properties of the microphones.

An Introduction to Virtual Phased Arrays for Beamforming Applications

2015 ◽  
Vol 39 (1) ◽  
pp. 81-88 ◽  
Author(s):  
Daniel Fernández Comesana ◽  
Keith R. Holland ◽  
Dolores García Escribano ◽  
Hans-Elias de Bree
Keyword(s):  
Sound Localization ◽  
Relative Phase ◽  
Phased Arrays ◽  
Sound Field ◽  
Microphone Arrays ◽  
Acoustic Sensor ◽  
Frequency Range ◽  
Acoustic Holography ◽  
Sound Sources ◽  
Single Sensor

Abstract Sound localization problems are usually tackled by the acquisition of data from phased microphone arrays and the application of acoustic holography or beamforming algorithms. However, the number of sensors required to achieve reliable results is often prohibitive, particularly if the frequency range of interest is wide. It is shown that the number of sensors required can be reduced dramatically providing the sound field is time stationary. The use of scanning techniques such as “Scan & Paint” allows for the gathering of data across a sound field in a fast and efficient way, using a single sensor and webcam only. It is also possible to characterize the relative phase field by including an additional static microphone during the acquisition process. This paper presents the theoretical and experimental basis of the proposed method to localise sound sources using only one fixed microphone and one moving acoustic sensor. The accuracy and resolution of the method have been proven to be comparable to large microphone arrays, thus constituting the so called “virtual phased arrays”.

scholarly journals Bio-acoustic tracking and localization using heterogeneous, scalable microphone arrays

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Erik Verreycken ◽  
Ralph Simon ◽  
Brandt Quirk-Royal ◽  
Walter Daems ◽  
Jesse Barber ◽  
...  
Keyword(s):  
Microphone Array ◽  
Microphone Arrays ◽  
Sound Sources ◽  
Acoustic Data ◽  
Array Architecture ◽  
Spatially Distributed ◽  
Animal Vocalizations ◽  
Pallid Bats ◽  
Tracking Device ◽  
And Behavior

AbstractMicrophone arrays are an essential tool in the field of bioacoustics as they provide a non-intrusive way to study animal vocalizations and monitor their movement and behavior. Microphone arrays can be used for passive localization and tracking of sound sources while analyzing beamforming or spatial filtering of the emitted sound. Studying free roaming animals usually requires setting up equipment over large areas and attaching a tracking device to the animal which may alter their behavior. However, monitoring vocalizing animals through arrays of microphones, spatially distributed over their habitat has the advantage that unrestricted/unmanipulated animals can be observed. Important insights have been achieved through the use of microphone arrays, such as the convergent acoustic field of view in echolocating bats or context-dependent functions of avian duets. Here we show the development and application of large flexible microphone arrays that can be used to localize and track any vocalizing animal and study their bio-acoustic behavior. In a first experiment with hunting pallid bats the acoustic data acquired from a dense array with 64 microphones revealed details of the bats’ echolocation beam in previously unseen resolution. We also demonstrate the flexibility of the proposed microphone array system in a second experiment, where we used a different array architecture allowing to simultaneously localize several species of vocalizing songbirds in a radius of 75 m. Our technology makes it possible to do longer measurement campaigns over larger areas studying changing habitats and providing new insights for habitat conservation. The flexible nature of the technology also makes it possible to create dense microphone arrays that can enhance our understanding in various fields of bioacoustics and can help to tackle the analytics of complex behaviors of vocalizing animals.

scholarly journals Assessment of Sound Source Tracking Using Multiple Drones Equipped with Multiple Microphone Arrays

2021 ◽  
Vol 18 (17) ◽  
pp. 9039
Author(s):  
Taiki Yamada ◽  
Katsutoshi Itoyama ◽  
Kenji Nishida ◽  
Kazuhiro Nakadai
Keyword(s):  
Numerical Simulation ◽  
Performance Assessment ◽  
Sound Source ◽  
Microphone Arrays ◽  
Source Tracking ◽  
Signal To Noise ◽  
Sound Sources ◽  
Tracking Method ◽  
Low Snr ◽  
Source Distance

Drone audition techniques are helpful for listening to target sound sources from the sky, which can be used for human searching tasks in disaster sites. Among many techniques required for drone audition, sound source tracking is an essential technique, and thus several tracking methods have been proposed. Authors have also proposed a sound source tracking method that utilizes multiple microphone arrays to obtain the likelihood distribution of the sound source locations. These methods have been demonstrated in benchmark experiments. However, the performance against various sound sources with different distances and signal-to-noise ratios (SNRs) has been less evaluated. Since drone audition often needs to listen to distant sound sources and the input acoustic signal generally has a low SNR due to drone noise, making a performance assessment against source distance and SNR is essential. Therefore, this paper presents a concrete evaluation of sound source tracking methods using numerical simulation, focusing on various source distances and SNRs. The simulated results captured how the tracking performance will change when the sound source distance and SNR change. The proposed approach based on location distribution estimation tended to be more robust against distance increase, while existing approaches based on directional estimation tended to be more robust against decreasing SNR.

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