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Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning
Automatic species classification of birds from their sound is a computational tool of increasing importance in ecology, conservation monitoring and vocal communication studies. To make classification useful in practice, it is crucial to improve its accuracy while ensuring that it can run at big data...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
PeerJ Inc.
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4106198/ https://ncbi.nlm.nih.gov/pubmed/25083350 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.488 |
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