Sound Localization for Ad-Hoc Microphone Arrays

Muhammad Usman Liaquat, Hafiz Suliman Munawar, Amna Rahman, Zakria Qadir, Abbas Z. Kouzani and M. A. Parvez Mahmud
Additional contact information
Muhammad Usman Liaquat: Department of Electronics Engineering, North Ryde Campus, Macquarie University, Macquarie Park, NSW 2109, Australia
Hafiz Suliman Munawar: School of Built Environment, University of New South Wales, Kensington, Sydney, NSW 2052, Australia
Amna Rahman: Department of Computer Engineering, National University of Sciences and Technology, Islamabad 44000, Pakistan
Zakria Qadir: School of Computing Engineering and Mathematics, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia
Abbas Z. Kouzani: School of Engineering, Deakin University, Geelong, VIC 3216, Australia
M. A. Parvez Mahmud: School of Engineering, Deakin University, Geelong, VIC 3216, Australia

Energies, 2021, vol. 14, issue 12, 1-27

Abstract: 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%.

Keywords: sound localization; DOA; 3D space; microphone array (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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