A knowledge-spatiotemporal integrated acoustic recognition framework for ecological monitoring
Bioacoustic monitoring is crucial for biodiversity assessment and ecological conservation. Traditional manual methods are inefficient, while existing deep learning-based models suffer from unexplainable recognition, high false alarms, insufficient use of ecological prior knowledge, and poor integration with monitoring...