Whistle detection and classification for whales based on convolutional neural networks

Jiang, J.-J., Bu, L.-R., Duan, F.-J. et al. (4 more authors) (2019) Whistle detection and classification for whales based on convolutional neural networks. Applied Acoustics, 150. pp. 169-178. ISSN 0003-682X

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Copyright, Publisher and Additional Information: © 2019 Elsevier. This is an author produced version of a paper subsequently published in Applied Acoustics. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Dates:
  • Accepted: 9 February 2019
  • Published (online): 25 February 2019
  • Published: July 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 28 Feb 2019 15:38
Last Modified: 28 Feb 2019 15:38
Published Version: https://doi.org/10.1016/j.apacoust.2019.02.007
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.apacoust.2019.02.007

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Filename: manuscript- Whistle Detection and Classification for Whales Based on Convolutional Neural Networks.pdf

Licence: CC-BY-NC-ND 4.0

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