Comparing recurrent convolutional neural networks for large scale bird species classification

We present a deep learning approach towards the large-scale prediction and analysis of bird acoustics from 100 different bird species. We use spectrograms constructed on bird audio recordings from the Cornell Bird Challenge (CBC)2020 dataset, which includes recordings of multiple and potentially ove...

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Detalles Bibliográficos
Autores principales: Gupta, Gaurav, Kshirsagar, Meghana, Zhong, Ming, Gholami, Shahrzad, Ferres, Juan Lavista
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8385065/
https://www.ncbi.nlm.nih.gov/pubmed/34429468
http://dx.doi.org/10.1038/s41598-021-96446-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8385065/
https://www.ncbi.nlm.nih.gov/pubmed/34429468
http://dx.doi.org/10.1038/s41598-021-96446-w

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