Compensating class imbalance for acoustic chimpanzee detection with convolutional recurrent neural networks
Automatic detection systems are important in passive acoustic monitoring (PAM) systems, as these record large amounts of audio data which are infeasible for humans to evaluate manually. In this paper we evaluated methods for compensating class imbalance for deep-learning based automatic detection of...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |