Tuning into the city soundscape: Optimizing Convolutional Neural Networks for avian acoustic identification in the neotropics and evaluating their performance against established monitoring approaches.

Code used to train, validate, and test the best-performing CNN model (cnn_model.py), generate predictions using the trained model (inference_using_cnn.py and best_model.pt), and calculate acoustic indices (acoustic_indices_calculation.py).