Yuren Sun, Tatiana Midori Maeda, Claudia Solis-Lemus, Daniel Pimentel-Alarcon, Zuzana Burivalova
If you are interested to try out our methods or use our neural network model in your own data, please follow the steps in the example folder.
All the python scripts can be found in the scripts folder for the data analyses presented in the manuscript.
Our code is licensed under the MIT license. © Burivalova-PimentelAlarcon-SolisLemus lab projects (2021)
If you use the code in your work, we kindly ask that you cite the following paper:
@article{SUN2022109621,
title = {Classification of animal sounds in a hyperdiverse rainforest using convolutional neural networks with data augmentation},
journal = {Ecological Indicators},
volume = {145},
pages = {109621},
year = {2022},
issn = {1470-160X},
doi = {https://doi.org/10.1016/j.ecolind.2022.109621},
url = {https://www.sciencedirect.com/science/article/pii/S1470160X22010949},
author = {Yuren Sun and Tatiana {Midori Maeda} and Claudia Solís-Lemus and Daniel Pimentel-Alarcón and Zuzana Buřivalová},
}
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