OpenSoundscape: An open‐source bioacoustics analysis package for Python
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Published:2023-08-09
Issue:9
Volume:14
Page:2321-2328
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ISSN:2041-210X
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Container-title:Methods in Ecology and Evolution
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language:en
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Short-container-title:Methods Ecol Evol
Author:
Lapp Sam1ORCID,
Rhinehart Tessa1ORCID,
Freeland‐Haynes Louis1,
Khilnani Jatin1,
Syunkova Alexandra1,
Kitzes Justin1
Affiliation:
1. Department of Biological Sciences University of Pittsburgh Pittsburgh Pennsylvania USA
Abstract
Abstract
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.
Funder
Gordon and Betty Moore Foundation
Mascaro Center for Sustainable Innovation, University of Pittsburgh
National Fish and Wildlife Foundation
National Geographic Society
National Science Foundation
Center for Research Computing, University of Pittsburgh
Subject
Ecological Modeling,Ecology, Evolution, Behavior and Systematics
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2. Bechtold B.(2023).Python‐soundfile[computer software].https://github.com/bastibe/python‐soundfile/
3. Biewald L.(2020).Experiment tracking with weights and biases.https://www.wandb.com/
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