w2v-SELD: A Sound Event Localization and Detection Framework for Self-Supervised Spatial Audio Pre-Training
Sound Event Localization and Detection (SELD) is a critical challenge in various industrial applications, such as autonomous systems, smart cities, and audio surveillance, which require accurate identification and localization of sound events in complex environments. Traditional supervised approache...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10772471/ |
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