Global birdsong embeddings enable superior transfer learning for bioacoustic classification
Abstract Automated bioacoustic analysis aids understanding and protection of both marine and terrestrial animals and their habitats across extensive spatiotemporal scales, and typically involves analyzing vast collections of acoustic data. With the advent of deep learning models, classification of i...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-12-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-49989-z |