OpenSoundscape: An open‐source bioacoustics analysis package for Python

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 unobserve...

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Veröffentlicht in:Methods in ecology and evolution Jg. 14; H. 9; S. 2321 - 2328
Hauptverfasser: Lapp, Sam, Rhinehart, Tessa, Freeland‐Haynes, Louis, Khilnani, Jatin, Syunkova, Alexandra, Kitzes, Justin
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London John Wiley & Sons, Inc 01.09.2023
Wiley
Schlagworte:
acoustic monitoring
Acoustic tracking
Acoustics
Algorithms
automated detection
Automation
Bioacoustics
Biodiversity
Birds
Classification
Cost analysis
Data analysis
Data collection
Deep learning
Flexibility
Localization
Machine learning
Metadata
Monitoring
OpenSoundscape
Python
Signal processing
Software
Sound detecting and ranging
ISSN:2041-210X, 2041-210X
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Zusammenfassung: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.
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ISSN:2041-210X
2041-210X
DOI:10.1111/2041-210X.14196