Deep Learning for Automated (Bird) Sound Identification R package birdnetR version 0.3.2 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>. Software Depends: R (>= 4.0) Imports: reticulate (>= 1.41) Suggests: arrow, curl, devtools, knitr, rmarkdown, testthat (>= 3.0.0) Felix Günther <felix.guenther@informatik.tu-chemnitz.de> Comprehensive R Archive Network (CRAN) Felix Günther [cre], Stefan Kahl [aut, cph], BirdNET Team [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=birdnetR/LICENSE) 2025-04-30 application/tgz https://CRAN.R-project.org/package=birdnetR doi:10.32614/CRAN.package.birdnetR