Workshop Report: Detection and Classification in Marine Bioacoustics with Deep Learning

Fabio Frazao; Bruno Padovese; Oliver S. Kirsebom

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arXiv · 2002.08249

Workshop Report: Detection and Classification in Marine Bioacoustics with Deep Learning

Fabio Frazao·Bruno Padovese·Oliver S. Kirsebom

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Abstract

On 21-22 November 2019, about 30 researchers gathered in Victoria, BC, Canada, for the workshop "Detection and Classification in Marine Bioacoustics with Deep Learning" organized by MERIDIAN and hosted by Ocean Networks Canada. The workshop was attended by marine biologists, data scientists, and computer scientists coming from both Canadian coasts and the US and representing a wide spectrum of research organizations including universities, government (Fisheries and Oceans Canada, National Oceanic and Atmospheric Administration), industry (JASCO Applied Sciences, Google, Axiom Data Science), and non-for-profits (Orcasound, OrcaLab). Consisting of a mix of oral presentations, open discussion sessions, and hands-on tutorials, the workshop program offered a rare opportunity for specialists from distinctly different domains to engage in conversation about deep learning and its promising potential for the development of detection and classification algorithms in underwater acoustics. In this workshop report, we summarize key points from the presentations and discussion sessions.

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Fabio Frazao, Bruno Padovese, Oliver S. Kirsebom. 2020-02-18. Workshop Report: Detection and Classification in Marine Bioacoustics with Deep Learning. https://arxiv.org/abs/2002.08249

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