Automated detection of Hainan gibbon calls for passive acoustic monitoring

Automated detection of Hainan gibbon calls for passive acoustic monitoring

Abstract Extracting species calls from passive acoustic recordings is a common preliminary step to ecological analysis. For many species, particularly those occupying noisy, acoustically variable habitats, the call extraction process continues to be largely manual, a time‐consuming and increasingly...

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Bibliographic Details
Main Authors: Emmanuel Dufourq, Ian Durbach, James P. Hansford, Amanda Hoepfner, Heidi Ma, Jessica V. Bryant, Christina S. Stender, Wenyong Li, Zhiwei Liu, Qing Chen, Zhaoli Zhou, Samuel T. Turvey
Format: Article
Language:English
Published: Wiley 2021-09-01
Series:Remote Sensing in Ecology and Conservation
Subjects:
Bioacoustics
convolutional neural networks
deep learning
Hainan gibbons
passive acoustic monitoring
species identification
Online Access:https://doi.org/10.1002/rse2.201

Internet

https://doi.org/10.1002/rse2.201

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