Audio Simulation for Sound Source Localization in Virtual Evironment

Autor:	Di Yuan, Yi, Wong, Swee Liang, Pan, Jonathan
Rok vydání:	2024
Předmět:	Computer Science - Machine Learning Computer Science - Sound Electrical Engineering and Systems Science - Audio and Speech Processing
Druh dokumentu:	Working Paper
Popis:	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. We achieve 0.786+/- 0.0136 F1-score using an audio transformer spectrogram approach. Comment: 2024 IEEE World Forum on Public Safety Technology
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2404.01611 Zobrazit plný text záznamu View this record from Arxiv