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birdnetR: Deep Learning for Automated (Bird) Sound Identification
Use 'BirdNET', a state-of-the-art deep learning classifier, to automatically identify (bird) sounds. Analyze bioacoustic datasets without any computer science background using a pre-trained model or a custom trained classifier. Predict bird species occurrence based on location and week of the year. Kahl, S., Wood, C. M., Eibl, M., & Klinck, H. (2021) <doi:10.1016/j.ecoinf.2021.101236>.
Getting started
Browse package contents
Package details |
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| Author | Felix Günther [cre], Stefan Kahl [aut, cph], BirdNET Team [aut] |
| Maintainer | Felix Günther <felix.guenther@informatik.tu-chemnitz.de> |
| License | MIT + file LICENSE |
| Version | 0.3.2 |
| URL | https://birdnet-team.github.io/birdnetR/ https://github.com/birdnet-team/birdnetR |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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