论文标题
研讨会报告：深度学习的海洋生物源检测和分类
Workshop Report: Detection and Classification in Marine Bioacoustics with Deep Learning
论文作者
论文摘要
2019年11月21日至22日，大约30名研究人员聚集在不列颠哥伦比亚省维多利亚州的加拿大维多利亚州，参加了子午线组织的“海洋生物声学的检测和分类”，并由加拿大海洋网络主持。该研讨会由来自加拿大海岸和美国的海洋生物学家，数据科学家和计算机科学家参加，并代表包括大学，政府（加拿大渔业和海洋，国家海洋和大气管理局），工业界（Jasco Applied Sciences，Google，Google，Axiom Data Science）以及非Forforforfits（orcab）（ORCAB），ORCAB，ORCAB，ORCAB，ORCAB，ORCABSOUND，ORCABSOUND，ORCABSOUND，ORCABSOUND，包括大学，政府（加拿大渔业和海洋，国家海洋和大气管理局）。该研讨会计划包括口头演讲，开放讨论会议和动手教程，为来自不同不同领域的专家提供了一个难得的机会，以进行有关深度学习的对话及其有望开发在水下声学中的检测和分类算法的潜力。在此研讨会报告中，我们总结了演讲和讨论会议中的要点。
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.
