Audio Simulation for Sound Source Localization in Virtual Evironment
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866910395667578880 |
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| author | Di Yuan, Yi Wong, Swee Liang Pan, Jonathan |
| author_facet | Di Yuan, Yi Wong, Swee Liang Pan, Jonathan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_01611 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Audio Simulation for Sound Source Localization in Virtual Evironment Di Yuan, Yi Wong, Swee Liang Pan, Jonathan Machine Learning Sound Audio and Speech Processing 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. |
| title | Audio Simulation for Sound Source Localization in Virtual Evironment |
| topic | Machine Learning Sound Audio and Speech Processing |
| url | https://arxiv.org/abs/2404.01611 |