论文标题
全栈生物声学：现场套件到AI到动作（研讨会报告）
Full-Stack Bioacoustics: Field Kit to AI to Action (Workshop report)
论文作者
论文摘要
声学数据（声音记录）是检测，计数和区分野生动植物的重要证据来源。由于信号处理和机器学习，记录设备以及数据处理和存储的能力的巨大进步，在过去十年中，“生物声学”的这个领域已经发展。许多研究论文描述了覆盆子PI或类似设备进行声学监测的使用，其他研究论文描述了通过机器学习对动物声音进行自动分类。但是对于大多数生态学家，动物学家，保护主义者来说，难题的部分并没有融合在一起：域是分散的。在洛伦兹（Lorentz）的研讨会中，我们通过将开放硬件和开源软件的领先指数汇总为生物声监测和机器学习，以及生态学家和其他现场研究人员，弥合了这一差距。我们分享技能，同时还为“生物声学AI”的未来发展建立愿景。 该报告包含了研讨会的目标和结构的概述，以及六组的报告。
Acoustic data (sound recordings) are a vital source of evidence for detecting, counting, and distinguishing wildlife. This domain of "bioacoustics" has grown in the past decade due to the massive advances in signal processing and machine learning, recording devices, and the capacity of data processing and storage. Numerous research papers describe the use of Raspberry Pi or similar devices for acoustic monitoring, and other research papers describe automatic classification of animal sounds by machine learning. But for most ecologists, zoologists, conservationists, the pieces of the puzzle do not come together: the domain is fragmented. In this Lorentz workshop we bridge this gap by bringing together leading exponents of open hardware and open-source software for bioacoustic monitoring and machine learning, as well as ecologists and other field researchers. We share skills while also building a vision for the future development of "bioacoustic AI". This report contains an overview of the workshop aims and structure, as well as reports from the six groups.
