Bird call recognition using deep convolutional neural network, ResNet-50

This paper uses ResNet-50, a deep convolutional neural network architecture for automated bird call recognition in acoustic recordings, and uses a publicly available dataset consisting of calls from 46 different bird species to achieve 60%-72% accuracy of birdcall recognition.