Convolutional recurrent neural networks for bird audio detection

@article{akir2017ConvolutionalRN,
  title={Convolutional recurrent neural networks for bird audio detection},
  author={Emre Çakir and Sharath Adavanne and Giambattista Parascandolo and Konstantinos Drossos and Tuomas Virtanen},
  journal={2017 25th European Signal Processing Conference (EUSIPCO)},
  year={2017},
  pages={1744-1748}
}
Bird sounds possess distinctive spectral structure which may exhibit small shifts in spectrum depending on the bird species and environmental conditions. In this paper, we propose using convolutional recurrent neural networks on the task of automated bird audio detection in real-life environments. In the proposed method, convolutional layers extract high dimensional, local frequency shift invariant features, while recurrent layers capture longer term dependencies between the features extracted… Expand
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