A Self-Supervised Classifier Ensemble for Source Recognition in Acoustic Sensor Arrays
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چکیده
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.
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تاریخ انتشار 2010