Two convolutional neural networks for bird detection in audio signals

@article{Grill2017TwoCN,
  title={Two convolutional neural networks for bird detection in audio signals},
  author={Thomas Grill and Jan Schl{\"u}ter},
  journal={2017 25th European Signal Processing Conference (EUSIPCO)},
  year={2017},
  pages={1764-1768}
}
We present and compare two approaches to detect the presence of bird calls in audio recordings using convolutional neural networks on mel spectrograms. In a signal processing challenge using environmental recordings from three very different sources, only two of them available for supervised training, we obtained an Area Under Curve (AUC) measure of 89% on the hidden test set, higher than any other contestant. By comparing multiple variations of our systems, we find that despite very different… CONTINUE READING

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Key Quantitative Results

  • In a signal processing challenge using environmental recordings from three very different sources, only two of them available for supervised training, we obtained an Area Under Curve (AUC) measure of 89% on the hidden test set, higher than any other contestant.

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