In this paper, we propose a collective self-supervised learning method to be deployed in acoustic sensor arrays. We describe a series of experiments on the automated classification of tropical bird species and bird individuals from their songs by a classifier ensemble. Simulation results showed that accurate classification can be achieved using the proposed model.
