An Erratum on
A Convolutional Neural Network for Automated Detection of Humpback Whale Song in a Diverse, Long-Term Passive Acoustic Dataset
by Allen, A. N., Harvey, M., Harrell, L., Jansen, A., Merkens, K. P., Wall, C. C., et al. (2021). Front. Mar. Sci. 8:607321. doi: 10.3389/fmars.2021.607321
Due to a production error, “doi: 10.25921/Z787-9Y54” was incorrectly linked to “http://10.0.101.65/Z787-9Y54” in the Data Availability Statement. The correct link is “https://doi.org/10.25921/Z787-9Y54”. The corrected statement appears below.
Data Availability Statement
The entire acoustic dataset and all annotations used in this analysis are available at doi: 10.25921/Z787-9Y54. The trained machine learning model is openly available at: https://tfhub.dev/google/humpback_whale/1. Further inquiries can be directed to the corresponding author.
The publisher apologizes for this mistake. The original article has been updated.
Keywords: deep machine learning, convolutional neural network, humpback whale (Megaptera novaeangliae), seasonal occurrence, Hawaii, Mariana Islands, Kingman Reef, passive acoustic monitoring
Citation: Frontiers Production Office (2021) Erratum: A Convolutional Neural Network for Automated Detection of Humpback Whale Song in a Diverse, Long-Term Passive Acoustic Dataset. Front. Mar. Sci. 8:708219. doi: 10.3389/fmars.2021.708219
Received: 11 May 2021; Accepted: 11 May 2021;
Published: 26 May 2021.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2021 Frontiers Production Office. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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