Soundscape classification with convolutional neural networks reveals temporal and geographic patterns in ecoacoustic data

Colin A. Quinn, Patrick Burns, Gurman Gill, Shrishail Baligar, Rose L. Snyder, Leonardo Salas, Scott J. Goetz, Matthew L. Clark

Informatics, Computing, and Cyber Systems, School of

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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Convolutional neural network and data used for applied soundscape classification with Soundscapes 2 Landscapes (S2L)
Quinn, C. A. (Contributor), Burns, P. (Contributor), Gill, G. (Contributor), Baligar, S. (Contributor), Snyder, R. L. (Contributor), Salas, L. (Contributor), Goetz, S. (Contributor) & Clark, M. L. (Contributor), Zenodo, 2022
DOI: 10.5281/zenodo.6027024, https://zenodo.org/record/6027024
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