期刊
PATTERN RECOGNITION LETTERS
卷 31, 期 12, 页码 1524-1534出版社
ELSEVIER
DOI: 10.1016/j.patrec.2009.09.014
关键词
Bioacoustic monitoring; Animal sounds; Algorithmic bioacoustics
资金
- German Federal Agency for Nature Conservation (BIN) [806 82 060 - K2]
- NaturschutzFonds Brandenburg [557]
Trends in bird population sizes are an important indicator in nature conservation but measuring such sizes is a very difficult, labour intensive process. Enormous progress in audio signal processing and pattern recognition in recent years makes it possible to incorporate automated methods into the detection of bird vocalisations. These methods can be employed to support the census of population sizes. We report about a study testing the feasibility of bird monitoring supported by automatic bird song detection. In particular, we describe novel algorithms for the detection of the vocalisations of two endangered bird species and show how these can be used in automatic habitat mapping. These methods are based on detecting temporal patterns in a given frequency band typical for the species. Special effort is put into the suppression of the noise present in real-world audio scenes. Our results show that even in real-world recording conditions high recognition rates with a tolerable rate of false positive detections are possible. (C) 2009 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据