Compact Features for Birdcall Retrieval from Environmental Acoustic Recordings

Xueyan Dong, Michael Towsey, Jinglan Zhang, Paul Roe
2015 2015 IEEE International Conference on Data Mining Workshop (ICDMW)  
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 is
more » ... ed to search through audio files to locate candidate instances. A similarity measure is then applied to dimension-reduced spectral ridge feature vectors. The eventbased searching method processes a smaller list of instances for faster retrieval. The experimental results demonstrate that our features achieve better success rate than existing methods and the feature dimension is greatly reduced. Keywords-birdcall retrieval; environmental acoustic recordings; spectral ridge; event detection; histrogram of oriented ridges I.
doi:10.1109/icdmw.2015.153 dblp:conf/icdm/DongTZR15 fatcat:v6fiximlsjhpplh5bp4ebomeny