Spatial Coding for Microphone Arrays Using Ipnlms-Based RTF Estimation

Author(s):  
Daniel T. Jones ◽  
Dushyant Sharma ◽  
Stanislav Yu. Kruchinin ◽  
Patrick A. Naylor
2019 ◽  
Vol 45 (10) ◽  
pp. 1910-1921 ◽  
Author(s):  
Samuel Salvaggio ◽  
Nicolas Masson ◽  
Michael Andres

2020 ◽  
Author(s):  
Bethany Frost ◽  
Matheus Cafalchio ◽  
Sean K. Martin ◽  
Md Nurul Islam ◽  
John Aggleton ◽  
...  
Keyword(s):  

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3446
Author(s):  
Muhammad Usman Liaquat ◽  
Hafiz Suliman Munawar ◽  
Amna Rahman ◽  
Zakria Qadir ◽  
Abbas Z. Kouzani ◽  
...  

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%.


2021 ◽  
Vol 34 (2) ◽  
pp. 207-220
Author(s):  
Abiot Y. Derbie ◽  
Bolton Chau ◽  
Bess Lam ◽  
Yun-hua Fang ◽  
Kin-Hung Ting ◽  
...  

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