Humbug Zooniverse: A Crowd-Sourced Acoustic Mosquito Dataset

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  • Additional Information
    • Publication Information:
      IEEE
    • Publication Date:
      2020
    • Abstract:
      Mosquitoes are the only known vector of malaria, which leads to hundreds of thousands of deaths each year. Understanding the number and location of potential mosquito vectors is of paramount importance to aid the reduction of malaria transmission cases. In recent years, deep learning has become widely used for bioacoustic classification tasks. In order to enable further research applications in this field, we release a new dataset of mosquito audio recordings. With over a thousand contributors, we obtained 195,434 labels of two second duration, of which approximately 10 percent signify mosquito events. We present an example use of the dataset, in which we train a convolutional neural network on log-Mel features, showcasing the information content of the labels. We hope this will become a vital resource for those researching all aspects of malaria, and add to the existing audio datasets for bioacoustic detection and signal processing.
    • Contents Note:
      Conference Acronym: ICASSP
    • Author Affiliations:
      University of Oxford,Department of Engineering Science
    • ISBN:
      978-1-5090-6631-5
    • ISSN:
      2379-190X
    • Relation:
      ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
    • Accession Number:
      10.1109/ICASSP40776.2020.9053141
    • Rights:
      Copyright 2020, IEEE
    • AMSID:
      9053141
    • Conference Acronym:
      ICASSP
    • Date of Current Version:
      2020
    • Document Subtype:
      IEEE Conference
    • Notes:
      Conference Location: Barcelona, Spain, Spain

      Conference Start Date: 4 May 2020

      Conference End Date: 8 May 2020
    • Accession Number:
      edseee.9053141
  • Citations
    • ABNT:
      KISKIN, I. et al. Humbug Zooniverse: A Crowd-Sourced Acoustic Mosquito Dataset. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2020 - 2020 IEEE International Conference on, [s. l.], p. 916–920, 2020. DOI 10.1109/ICASSP40776.2020.9053141. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.9053141. Acesso em: 27 nov. 2020.
    • AMA:
      Kiskin I, Cobb AD, Wang L, Roberts S. Humbug Zooniverse: A Crowd-Sourced Acoustic Mosquito Dataset. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2020 - 2020 IEEE International Conference on. May 2020:916-920. doi:10.1109/ICASSP40776.2020.9053141
    • APA:
      Kiskin, I., Cobb, A. D., Wang, L., & Roberts, S. (2020). Humbug Zooniverse: A Crowd-Sourced Acoustic Mosquito Dataset. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2020 - 2020 IEEE International Conference On, 916–920. https://doi.org/10.1109/ICASSP40776.2020.9053141
    • Chicago/Turabian: Author-Date:
      Kiskin, Ivan, Adam D. Cobb, Lawrence Wang, and Stephen Roberts. 2020. “Humbug Zooniverse: A Crowd-Sourced Acoustic Mosquito Dataset.” ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2020 - 2020 IEEE International Conference On, May, 916–20. doi:10.1109/ICASSP40776.2020.9053141.
    • Harvard:
      Kiskin, I. et al. (2020) ‘Humbug Zooniverse: A Crowd-Sourced Acoustic Mosquito Dataset’, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2020 - 2020 IEEE International Conference on, pp. 916–920. doi: 10.1109/ICASSP40776.2020.9053141.
    • Harvard: Australian:
      Kiskin, I, Cobb, AD, Wang, L & Roberts, S 2020, ‘Humbug Zooniverse: A Crowd-Sourced Acoustic Mosquito Dataset’, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2020 - 2020 IEEE International Conference on, pp. 916–920, viewed 27 November 2020, .
    • MLA:
      Kiskin, Ivan, et al. “Humbug Zooniverse: A Crowd-Sourced Acoustic Mosquito Dataset.” ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2020 - 2020 IEEE International Conference On, May 2020, pp. 916–920. EBSCOhost, doi:10.1109/ICASSP40776.2020.9053141.
    • Chicago/Turabian: Humanities:
      Kiskin, Ivan, Adam D. Cobb, Lawrence Wang, and Stephen Roberts. “Humbug Zooniverse: A Crowd-Sourced Acoustic Mosquito Dataset.” ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2020 - 2020 IEEE International Conference On, May 1, 2020, 916–20. doi:10.1109/ICASSP40776.2020.9053141.
    • Vancouver/ICMJE:
      Kiskin I, Cobb AD, Wang L, Roberts S. Humbug Zooniverse: A Crowd-Sourced Acoustic Mosquito Dataset. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2020 - 2020 IEEE International Conference on [Internet]. 2020 May 1 [cited 2020 Nov 27];916–20. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.9053141