OpenSoundscape: An open-source bioacoustics analysis package for Python']Python

被引:7
|
作者
Lapp, Sam [1 ]
Rhinehart, Tessa [1 ]
Freeland-Haynes, Louis [1 ]
Khilnani, Jatin [1 ]
Syunkova, Alexandra [1 ]
Kitzes, Justin [1 ]
机构
[1] Univ Pittsburgh, Dept Biol Sci, Pittsburgh, PA 15260 USA
来源
METHODS IN ECOLOGY AND EVOLUTION | 2023年 / 14卷 / 09期
基金
美国国家科学基金会;
关键词
acoustic monitoring; automated detection; bioacoustics; localization; machine learning; OpenSoundscape; !text type='Python']Python[!/text;
D O I
10.1111/2041-210X.14196
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Landscape-scale bioacoustic projects have become a popular approach to biodiversity monitoring. Combining passive acoustic monitoring recordings and automated detection provides an effective means of monitoring sound-producing species' occupancy and phenology and can lend insight into unobserved behaviours and patterns. The availability of low-cost recording hardware has lowered barriers to large-scale data collection, but technological barriers in data analysis remain a bottleneck for extracting biological insight from bioacoustic datasets. We provide a robust and open-source Python toolkit for detecting and localizing biological sounds in acoustic data. OpenSoundscape provides access to automated acoustic detection, classification and localization methods through a simple and easy-to-use set of tools. Extensive documentation and tutorials provide step-by-step instructions and examples of end-to-end analysis of bioacoustic data. Here, we describe the functionality of this package and provide concise examples of bioacoustic analyses with OpenSoundscape. By providing an interface for bioacoustic data and methods, we hope this package will lead to increased adoption of bioacoustics methods and ultimately to enhanced insights for ecology and conservation.
引用
收藏
页码:2321 / 2328
页数:8
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