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BirdVox: Machine listening for bird migration monitoring

View ORCID ProfileVincent Lostanlen, Aurora Cramer, View ORCID ProfileJustin Salamon, Andrew Farnsworth, Benjamin M. Van Doren, Steve Kelling, Juan Pablo Bello
doi: https://doi.org/10.1101/2022.05.31.494155
Vincent Lostanlen
1Nantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000
2New York University
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  • ORCID record for Vincent Lostanlen
  • For correspondence: vincent.lostanlen@ls2n.fr
Aurora Cramer
2New York University
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Justin Salamon
3Adobe Research
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Andrew Farnsworth
4Cornell Lab of Ornithology, Cornell University, Ithaca, NY, USA
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Benjamin M. Van Doren
4Cornell Lab of Ornithology, Cornell University, Ithaca, NY, USA
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Steve Kelling
4Cornell Lab of Ornithology, Cornell University, Ithaca, NY, USA
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Juan Pablo Bello
2New York University
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Article Information

doi 
https://doi.org/10.1101/2022.05.31.494155
History 
  • May 31, 2022.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Vincent Lostanlen1,2,*,
  2. Aurora Cramer2,
  3. Justin Salamon3,
  4. Andrew Farnsworth4,
  5. Benjamin M. Van Doren4,
  6. Steve Kelling4 and
  7. Juan Pablo Bello2
  1. 1Nantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000
  2. 2New York University
  3. 3Adobe Research
  4. 4Cornell Lab of Ornithology, Cornell University, Ithaca, NY, USA
  1. ↵*vincent.lostanlen{at}ls2n.fr
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Posted May 31, 2022.
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BirdVox: Machine listening for bird migration monitoring
Vincent Lostanlen, Aurora Cramer, Justin Salamon, Andrew Farnsworth, Benjamin M. Van Doren, Steve Kelling, Juan Pablo Bello
bioRxiv 2022.05.31.494155; doi: https://doi.org/10.1101/2022.05.31.494155
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BirdVox: Machine listening for bird migration monitoring
Vincent Lostanlen, Aurora Cramer, Justin Salamon, Andrew Farnsworth, Benjamin M. Van Doren, Steve Kelling, Juan Pablo Bello
bioRxiv 2022.05.31.494155; doi: https://doi.org/10.1101/2022.05.31.494155

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