Bioacoustic AI for wildlife protection

用于野生动物保护的生物声学人工智能

• 批准号: EP/Y033299/1
• 负责人: Kate Jones
• 金额: $ 33.22万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FY033299%2F1
• 关键词: Bioacoustic; AI; wildlife; protection

The biodiversity crisis is coming into sharp focus. The BioacAI network will establish a vital modern evidence source for wildlife protection, by bringing the promise of AI-powered acoustic monitoring to fruition.Biodiversity loss is ranked as one of the top 5 global risks, both in impact and likelihood (World Economic Forum 2020, 2021, 2022). Continental-scale assessments warn of population declines in major taxa such as birds and insects. Yet data for monitoring biodiversity change remain incomplete - spatially, temporally and taxonomically. To stabilise biodiversity trends and assess ecosystem restoration interventions, it is crucial to monitor the world's wildlife better, faster, and to provide rapid intelligence that can enable us to manage these risks.Sound recording is a cheap, rapid and powerful way to monitor many key animal species, and modern machine learning can radically improve its scale and precision. However, there are two barriers: AI-enhanced tools for bioacoustic monitoring are at a low readiness level, with few end-to-end solutions available; and there is a big skills gap - no current training programme produces experts with skills spanning acoustics, artificial intelligence (AI) and zoology/ecology.The BioacAI doctoral network is designed to address exactly these issues. Our research programme develops new AI methods directly within the context of acoustic wildlife monitoring, using devices from leading European bioacoustics companies, in active wildlife monitoring deployments.Our training programme provides "full stack" bioacoustic AI skills and targeted research experience, to build the next generation of professionals - the people who innovate with technology to monitor and understand animals at unprecedented global scale and detail.

生物多样性危机正聚焦。 Bioacai网络将通过将AI驱动的声学监测的承诺带入成果，为野生动植物保护建立重要的现代证据来源。BiooDosity损失被视为影响和可能性的全球5大风险之一（世界经济论坛2020，2021，2021，2022）。大陆规模评估警告说，鸟类和昆虫等主要分类单元中的人口下降。然而，监测生物多样性变化的数据在空间，时间和分类上仍然不完整。为了稳定生物多样性趋势并评估生态系统恢复干预措施，至关重要的是，更好，更快，更快地监测世界的野生动植物，并提供可以使我们能够管理这些风险的快速智能。调查记录是一种廉价，快速和强大的方法，是一种监控许多关键动物物种，现代机器学习可以极大地改善其规模和精确度。但是，有两个障碍：生物声监测的AI增强工具的准备水平低，很少有端到端解决方案。而且存在很大的技能差距 - 当前没有培训计划能够生产具有声学，人工智能（AI）和动物学/生态学的技能的专家。Bioacai博士网络旨在解决这些问题。我们的研究计划直接在声学野生动植物监测的背景下，使用欧洲领先的生物声学公司的设备，在积极的野生动植物监控部署中，提供“全面堆栈”的“生物估计性AI技能和有针对性的研究经验”。