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Combining machine learning and a universal acoustic feature-set yields efficient automated monitoring of ecosystems

2019-12-05

Abstract excerpt

Natural habitats are being impacted by human pressures at an alarming rate. Monitoring these ecosystem-level changes often requires labour-intensive surveys that are unable to detect rapid or unanticipated environmental changes. Here we developed a generalisable, data-driven solution to this challenge using eco-acoustic data. We exploited a convolutional neural network to embed ecosystem soundscapes from a wide va...

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Literature Corpus work
8351c593-6b0d-5ba6-a3f2-c4c0ff8b3326
DOI
10.1101/865980
Open publication

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Combining machine learning and a universal acoustic feature-set yields efficient automated monitoring of ecosystemsDOI 10.1101/865980
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