Harnessing the power of machine learning algorithms for the detection of marine mammal species in large acoustic datasets

利用机器学习算法的力量来检测大型声学数据集中的海洋哺乳动物物种

• 批准号: 2792769
• 金额: --
• 依托单位: University of St Andrews
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2792769
• 关键词: Harnessing; power; machine; learning; algorithms

This project will focus on developing a framework for efficient detection of cetaceans from long-term acoustic datasets by designing deep learning algorithms to characterize the underwater soundscape and to detect and classify marine mammal vocalisations.

该项目将重点开发一个框架，通过设计深度学习算法来表征水下声景并对海洋哺乳动物发声进行检测和分类，从而从长期声学数据集中有效检测鲸类动物。