研讨会报告：使用深度学习进行海洋生物声学检测和分类
Workshop Report: Detection and Classification in Marine Bioacoustics with Deep Learning
摘要：
2019年11月21日至22日，约30名研究人员聚集在加拿大不列颠哥伦比亚省维多利亚市，参加由MERIDIAN组织并由加拿大海洋网络主办的研讨会“深度学习海洋生物声学检测和分类”。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了研讨会，代表了广泛的研究组织，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（JASCO应用科学，谷歌，Axiom数据科学）和非营利组织（Orcasound，OrcaLab）。该研讨会包括口头演示、公开讨论和实践教程，为来自不同领域的专家提供了一个难得的机会，让他们参与关于深度学习及其在水下声学检测和分类算法开发方面的潜力的对话。在本研讨会报告中，我们总结了演讲和讨论会的要点。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
