Improved Automatic Bird Identification through Decision Tree based Feature Selection and Bagging

@inproceedings{Lasseck2015ImprovedAB,
  title={Improved Automatic Bird Identification through Decision Tree based Feature Selection and Bagging},
  author={Mario Lasseck},
  booktitle={CLEF},
  year={2015}
}
This paper presents a machine learning technique for bird species identification at large scale. It automatically identifies about a thousand different species in a large number of audio recordings and provides the basis for the winning solution to the LifeCLEF 2015 Bird Identification Task. To process the very large amounts of audio data and to achieve similar good results compared to previous identification challenges new methods e.g. downsampling of spectrogram images for faster feature… CONTINUE READING

Citations

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LifeCLEF 2015: Multimedia Life Species Identification Challenges

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  • 2019
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Bird Sound Recognition Using a Convolutional Neural Network

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