Deep Learning-Enabled High-Resolution and Fast Sound Source Localization in Spherical Microphone Array System

Author:

Lee Soo Young1ORCID,Chang Jiho2ORCID,Lee Seungchul3ORCID

Affiliation:

1. Department of Mechanical Engineering, Industrial Artificial Intelligence Laboratory, Pohang University of Science and Technology (POSTECH), Gyeongbuk, Republic of Korea

2. Acoustics, Ultrasound, and Vibration Research Group, Division of Physical Metrology, Korea Research Institute of Standards and Science (KRISS), Daejeon, Republic of Korea

3. Graduate School of Artificial Intelligence, Pohang University of Science and Technology (POSTECH), Gyeongbuk, Republic of Korea

Funder

National Research Foundation of Korea

Korea Government

Institute of Civil-Military Technology Cooperation

Defense Acquisition Program Administration and Ministry of Trade, Industry and Energy of the Korean government

Korea Institute of Energy Technology Evaluation and Planning

Korean Government [Ministry of Trade, Industry, and Energy (MOTIE)]

Korea Government Ministry of Science and ICT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Reference36 articles.

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3. How does batch normalization help optimization?;santurkar;Proc Adv Neural Inf Process Syst,2018

4. Batch normalization: Accelerating deep network training by reducing internal covariate shift;ioffe;Proc Int Conf Mach Learn,2015

5. Comparison of deconvolution methods for the visualization of acoustic sources based on cross-spectral imaging function beamforming

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