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Bioacoustic data can be used for monitoring animal species diversity. The deployment of acoustic sensors enables acoustic monitoring at large temporal and spatial scales. We describe a content-based birdcall retrieval algorithm for the exploration of large data bases of acoustic recordings. In the algorithm, an event-based searching scheme and compact features are developed. In detail, ridge events are detected from audio files using event detection on spectral ridges. Then event alignment isdoi:10.1109/icdmw.2015.153 dblp:conf/icdm/DongTZR15 fatcat:v6fiximlsjhpplh5bp4ebomeny