April 3, 2024, 4:41 a.m. | Yi Di Yuan, Swee Liang Wong, Jonathan Pan

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.01611v1 Announce Type: new
Abstract: Non-line-of-sight localization in signal-deprived environments is a challenging yet pertinent problem. Acoustic methods in such predominantly indoor scenarios encounter difficulty due to the reverberant nature. In this study, we aim to locate sound sources to specific locations within a virtual environment by leveraging physically grounded sound propagation simulations and machine learning methods. This process attempts to overcome the issue of data insufficiency to localize sound sources to their location of occurrence especially in post-event localization. …

abstract aim arxiv audio cs.lg cs.sd eess.as environment environments line localization locations nature signal simulation sound study type virtual

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