Supplementary material for the article "Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls"
Supplementary software for the article "Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls" by Kirsebom, Frazao, Simard, Roy, Matwin, and Giard (arXiv:2001.09127). Includes Python scripts for (1) building training and test datasets, (2) computing signal-to...
Main Authors: | , |
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Format: | Article in Journal/Newspaper |
Language: | unknown |
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Zenodo
2020
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Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.3736625 https://zenodo.org/record/3736625 |
Summary: | Supplementary software for the article "Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls" by Kirsebom, Frazao, Simard, Roy, Matwin, and Giard (arXiv:2001.09127). Includes Python scripts for (1) building training and test datasets, (2) computing signal-to-noise ratios, (3) visualizing spectrograms, (4) training the deep neural network, and (5) using the network to analyze continuous audio recordings. The acoustic datasets and annotations may be obtained from the Canadian Federated Research Data Repository (FRDR), where they are stored under doi:10.20383/101.0241. |
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