OpenSoundscape: An open‐source bioacoustics analysis package for Python

OpenSoundscape: An open‐source bioacoustics analysis package for Python
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DOI:
10.1111/2041-210x.14196
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发表时间:
2023-08
影响因子:
6.6
通讯作者:
Sam Lapp;Tessa A. Rhinehart;Louis Freeland‐Haynes;Jatin Khilnani;Alexandra Syunkova;J. Kitzes
Sam Lapp;Tessa A. Rhinehart;Louis Freeland‐Haynes;Jatin Khilnani;Alexandra Syunkova;J. Kitzes
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Sam Lapp;Tessa A. Rhinehart;Louis Freeland‐Haynes;Jatin Khilnani;Alexandra Syunkova;J. Kitzes

文献摘要

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景观尺度生物声学工程已成为生物多样性监测的常用方法。将被动声学监测记录和自动检测相结合,提供了监测发声物种的占用和物候的有效手段,并可以深入了解未被观察到的行为和模式。低成本记录硬件的可用性降低了大规模数据收集的障碍,但数据分析中的技术障碍仍然是从生物声学数据集中提取生物学信息的瓶颈。我们提供了一个健壮的开源Python工具包,用于检测和定位声学数据中的生物声音。openssoundscape通过一套简单易用的工具,提供了自动声学检测、分类和定位方法。大量的文档和教程提供了一步一步的说明和端到端生物声学数据分析的示例。在这里,我们描述了这个包的功能,并提供了使用OpenSoundscape进行生物声学分析的简明示例。通过提供生物声学数据和方法的接口,我们希望这个包将导致更多的生物声学方法的采用,并最终提高对生态学和保护的认识。
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.