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Improving biodiversity assessment via unsupervised separation of biological sounds from long-duration recordings
Investigating the dynamics of biodiversity via passive acoustic monitoring is a challenging task, owing to the difficulty of identifying different animal vocalizations. Several indices have been proposed to measure acoustic complexity and to predict biodiversity. Although these indices perform well...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5495775/ https://www.ncbi.nlm.nih.gov/pubmed/28674439 http://dx.doi.org/10.1038/s41598-017-04790-7 |