Automated detection of Hainan gibbon calls for passive acoustic monitoring

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 unsustain...

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Bibliographic Details
Published in:	Remote sensing in ecology and conservation Vol. 7; no. 3; pp. 475 - 487
Main Authors:	Dufourq, Emmanuel, Durbach, Ian, Hansford, James P., Hoepfner, Amanda, Ma, Heidi, Bryant, Jessica V., Stender, Christina S., Li, Wenyong, Liu, Zhiwei, Chen, Qing, Zhou, Zhaoli, Turvey, Samuel T., Pettorelli, Nathalie, Astaras, Christos
Format:	Journal Article
Language:	English
Published:	Oxford John Wiley & Sons, Inc 01-09-2021 Wiley
Subjects:	Acoustic tracking Acoustics Annotations Artificial neural networks Automation Bioacoustics Classifiers convolutional neural networks Data collection Deep learning Hainan gibbons Labeling Listening Monitoring Monkeys & apes Nature reserves Neural networks passive acoustic monitoring Software species identification Temporal resolution Threatened species China
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