IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i12p3446-d572878.html
   My bibliography  Save this article

Sound Localization for Ad-Hoc Microphone Arrays

Author

Listed:
  • 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)

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%.

Suggested Citation

  • Muhammad Usman Liaquat & Hafiz Suliman Munawar & Amna Rahman & Zakria Qadir & Abbas Z. Kouzani & M. A. Parvez Mahmud, 2021. "Sound Localization for Ad-Hoc Microphone Arrays," Energies, MDPI, vol. 14(12), pages 1-27, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:12:p:3446-:d:572878
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/12/3446/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/12/3446/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kamran Iqbal & Hafiz Suliman Munawar & Hina Inam & Siddra Qayyum, 2021. "Promoting Customer Loyalty and Satisfaction in Financial Institutions through Technology Integration: The Roles of Service Quality, Awareness, and Perceptions," Sustainability, MDPI, vol. 13(23), pages 1-20, November.
    2. Muhammad Usman Liaquat & Hafiz Suliman Munawar & Amna Rahman & Zakria Qadir & Abbas Z. Kouzani & M. A. Parvez Mahmud, 2021. "Localization of Sound Sources: A Systematic Review," Energies, MDPI, vol. 14(13), pages 1-17, June.
    3. Vaughn Peter Golding & Zahra Gharineiat & Hafiz Suliman Munawar & Fahim Ullah, 2022. "Crack Detection in Concrete Structures Using Deep Learning," Sustainability, MDPI, vol. 14(13), pages 1-25, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:12:p:3446-:d:572878. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.