SelectTSL: Prompt-Guided Selective Target Sound Localization in Complex Scenarios
Humans can selectively attend to a target sound and estimate its direction in complex scenarios, whereas such selective localization remains challenging for current deep learning-based systems. Sound source localization (SSL) has achieved remarkable success with deep learning, yet most methods localize all active sources without selectivity. Conversely, target sound extraction (TSE) extracts sources using multimodal prompts but typically fails to preserve the multichannel spatial information required for accurate localization. To bridge this gap, we formulate the task of prompt-guided selective target sound localization and propose SelectTSL, an end-to-end architecture that localizes only...
| Authors | Ziyang Jiang, Yu Chen, Zexu Pan et al. |
|---|---|
| Primary category | cs.SD |
| Published | 2 July 2026 |
| Last updated at source | 2 July 2026 |
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