Windy events detection in big bioacoustics datasets using a pre-trained Convolutional Neural Network
Authors/Creators
- 1. Central European University
- 2. University of Torino
- 3. SANCCOB
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4.
University of Cape Town
- 5. Institut Universitaire de France
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6.
Université Jean Monnet
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7.
University of Turin
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8.
Stazione Zoologica Anton Dohrn
Description
This repository includes the code and all relevant files used throughout our study. These encompass everything from the initial sheets of the whole acoustic dataset utilised for selecting the annotated dataset to the notebook (.ipynb) and the recordings employed in training the model.
The .wav file are compressed in the file: wind-noise-detection-main.7z/data/208_file_recordings_paper_wind.tar
Notes
How to cite this work: Terranova, F., Betti, L., Ferrario, V., Friard, O., Ludynia, K., Petersen, G. S., Mathevon, N., Reby, D., & Favaro, L. (2024). Windy events detection in big bioacoustics datasets using a pre-trained Convolutional Neural Network. Science of The Total Environment, 949, 174868. https://doi.org/10.1016/j.scitotenv.2024.174868
(APA style)
Files
wav_file_fig_3.zip
Files
(21.5 GB)
| Name | Size | Download all |
|---|---|---|
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md5:86ae404bccf918194c2f138488fac208
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1.9 MB | Preview Download |
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md5:3abed3544558cb90dd5900aa00102fcf
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21.5 GB | Download |
Additional details
Software
- Repository URL
- https://github.com/Loreb92/wind-noise-detection