A contrastive multimodal framework augments satellite-audio datasets with vision-language model sound descriptions to learn shared soundscape concepts for zero-shot retrieval and synthesis.
Audio–visual representation learning for anomaly events de- tection in crowds.Neurocomputing, 582:127489
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Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping
A contrastive multimodal framework augments satellite-audio datasets with vision-language model sound descriptions to learn shared soundscape concepts for zero-shot retrieval and synthesis.