Towards small and accurate convolutional neural networks for acoustic biodiversity monitoring

Serge Zaugg, Mike van der Schaar, Florence Erbs +4

Automated classification of animal sounds is a prerequisite for large-scale monitoring of biodiversity. Convolutional Neural Networks (CNNs) are among the most promising algorithms…