专题报告:海洋生物声学的探测与分类与深度学习（CS SD）
- 2020 年 3 月 17 日
- 笔记
019年11月21-22日，约30名研究人员齐聚加拿大BC省维多利亚州，参加由子午线组织、加拿大海洋网主办的“海洋生物声学深度学习检测与分类”研讨会。出席了研讨会海洋生物学家、数据科学家,和计算机科学家来自加拿大海岸和美国和代表广泛的研究机构,包括大学、政府(加拿大渔业和海洋,国家海洋和大气管理局)、行业(JASCO应用科学,谷歌,Axiom数据科学),和非营利性(Orcasound OrcaLab)。该研讨会由口头报告、公开讨论和实践教程组成，为来自不同领域的专家提供了一个难得的机会，让他们参与到关于深度学习及其在水声探测和分类算法发展中的潜力的讨论中。在这个专题报告中，我们总结了演讲和讨论的要点。
原文题目：Workshop Report: Detection and Classification in Marine Bioacoustics with Deep Learning
原文：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.
原文作者：Fabio Frazao, Bruno Padovese, Oliver S. Kirsebom
原文地址：http://cn.arxiv.org/abs/2002.08249
