This is a modified version of ecoVAD for integration in to chirpR including models for analyzing acoustic recordings in urban environments.

ecoVAD was developed by Cretois et al. (2022) and should be cited as such.

Cretois, B., Rosten, C. M., & Sethi, S. S. (2022). Voice activity detection in eco-acoustic data enables privacy protection and is a proxy for human disturbance. Methods in Ecology and Evolution, 00,   1–10 .   https://doi.org/10.1111/2041-210X.14005

In keeping with the license requirements this version of ecoVAD is redistributed under the same license: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

• Removed Docker
• Removed poetry
• Created requirements.txt
• Corrected dependency conflict
• Removed notebooks
• train_ecovad now looks for audio files, not all files in a directory
• creating synthetic data is now parallelized