Low Resource Species Agnostic Bird Activity Detection

@article{Anderson2021LowRS,
  title={Low Resource Species Agnostic Bird Activity Detection},
  author={Mark Anderson and John Kennedy and Naomi Harte},
  journal={2021 IEEE Workshop on Signal Processing Systems (SiPS)},
  year={2021},
  pages={34-39}
}
This paper explores low resource classifiers and features for the detection of bird activity, suitable for embedded Automatic Recording Units which are typically deployed for long term remote monitoring of bird populations. Features include low-level spectral parameters, statistical moments on pitch samples, and features derived from amplitude modulation. Performance is evaluated on several lightweight classifiers using the NIPS4Bplus dataset. Our experiments show that random forest classifiers… 
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