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Sound localization for ad‐hoc microphone arrays

Liaquat, Muhammad Usman, Munawar, Hafiz Suliman, Rahman, Amna, Qadir, Zakria, Kouzani, Abbas Z and Mahmud, MA Parvez 2021, Sound localization for ad‐hoc microphone arrays, Energies, vol. 14, no. 12, pp. 1-27, doi: 10.3390/en14123446.

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Title Sound localization for ad‐hoc microphone arrays
Author(s) Liaquat, Muhammad Usman
Munawar, Hafiz Suliman
Rahman, Amna
Qadir, Zakria
Kouzani, Abbas ZORCID iD for Kouzani, Abbas Z orcid.org/0000-0002-6292-1214
Mahmud, MA ParvezORCID iD for Mahmud, MA Parvez orcid.org/0000-0002-1905-6800
Journal name Energies
Volume number 14
Issue number 12
Article ID 3446
Start page 1
End page 27
Total pages 27
Publisher MDPI AG
Place of publication Basel, Switzerland
Publication date 2021-06-02
ISSN 1996-1073
Keyword(s) sound localization
DOA
3D space
microphone array
Summary Sound localization is a field of signal processing that deals with identifying the origin of a detected sound signal. This involves determining the direction and distance of the source of the sound. Some useful applications of this phenomenon exists in speech enhancement, communication, radars and in the medical field as well. The experimental arrangement requires the use of microphone arrays which record the sound signal. Some methods involve using ad-hoc arrays of microphones because of their demonstrated advantages over other arrays. In this research project, the existing sound localization methods have been explored to analyze the advantages and disadvantages of each method. A novel sound localization routine has been formulated which uses both the direction of arrival (DOA) of the sound signal along with the location estimation in three-dimensional space to precisely locate a sound source. The experimental arrangement consists of four microphones and a single sound source. Previously, sound source has been localized using six or more microphones. The precision of sound localization has been demonstrated to increase with the use of more microphones. In this research, however, we minimized the use of microphones to reduce the complexity of the algorithm and the computation time as well. The method results in novelty in the field of sound source localization by using less resources and providing results that are at par with the more complex methods requiring more microphones and additional tools to locate the sound source. The average accuracy of the system is found to be 96.77% with an error factor of 3.8%.
Language eng
DOI 10.3390/en14123446
Indigenous content off
Field of Research 02 Physical Sciences
09 Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30152737

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.