一个世界注释鸟类声学数据集,用于被动声学监测
Cristian Pérez-Granados1,2, Jon Morant2, Kevin F A Darras3
1Biodiversity Conservation and Management Programme, Forest Science and Technology Center of Catalonia (CTFC), Lleida, Spain.
Ecology
|February 7, 2026
概括
一个新的世界注释鸟类声学数据集 (WABAD) 为鸟类声音监测提供了广泛的全球数据. 该资源有助于开发自动检测算法和用于保护工作的生态研究.
科学领域:
- 生态生态学 生态生态学
- 生物声学是一种生物声学.
- 保护技术 保护技术
背景情况:
- 全球生物多样性危机需要有效的,非侵入性的监测工具.
- 与自动物种识别相结合的被动声学监测 (PAM) 是一个有前途的技术.
- 当前注释声学数据集的规模往往有限,阻碍了算法开发.
研究的目的:
- 为了引入世界注释鸟类声学数据集 (WABAD).
- 为被动声学监测提供全球代表性的注释声学数据集.
- 支持研究,保护管理和算法开发.
主要方法:
- 编译了5047分钟的音频录音.
- 当地专家对鸟类发声的物种级注释,包括精确的时间和频率.
- 包括来自29个国家的72个地点的数据,涵盖13个生物群.
主要成果:
- WABAD数据集包含来自1192个物种的91,931个注释的鸟类发音.
- 该数据集展示了广泛的分类学,空间和生物组覆盖范围.
- 数据根据一个 创意共享归因 4.0 国际许可证.
结论:
- WABAD为生物声学研究和保护提供了有价值的大规模资源.
- 该数据集有助于开发和验证自动化鸟类声音检测算法.
- 它可以对声调变异和声学多样性指数进行生态研究.
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