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BattyCoda:一个新的开源软件用于蝙蝠调用注释和分类
Gabriela C Nunez-Mir1, Kevin M Boergens2, Jessica C Montoya1
1University of Illinois at Chicago, Department of Biological Sciences, 845 West Taylor Street, Chicago, IL 60607, USA.
概括
BattyCoda是一个新的工具,可以帮助研究人员标记蝙蝠通信呼叫. 它使用小型数据集来分类呼叫类型,改进了声通信研究.
科学领域:
- 生物声学是一种生物声学.
- 动物沟通动物沟通
- 机器学习在生态学中的应用
背景情况:
- 声学通信研究需要用于注释动物发声的工具.
- 现有的蝙蝠呼叫机器学习模型主要侧重于回声定位,而不是通信呼叫,由于大数据需求.
- 蝙蝠的通信谱系多样化,罕见的呼叫类型带来了分类挑战.
研究的目的:
- 介绍BattyCoda,这是一个开放式访问工具,用于对蝙蝠通信呼叫类型进行分类和标记.
- 为了使用小型训练数据集来进行蝙蝠通信通话的分类.
- 加强对蝙蝠声学通信的研究.
主要方法:
- 开发了BattyCoda,这是一个可定制的工具,用于标记蝙蝠通信呼叫.
- 编制了11个大棕色蝙蝠 (Eptesicus fuscus) 呼叫类型的初始训练数据集.
- 测试了各种分类器,并评估了培训样本大小的敏感性.
主要成果:
- 最好的分类器在所有呼叫类型中实现了~50%的平衡精度.
- 常见的呼叫类型以>70%的准确度被分类.
- 该工具有效地标记常见的通话,并有助于对较罕见的通信通话进行分类.
结论:
- BattyCoda 便于对蝙蝠通信呼叫进行注释,即使数据有限.
- 该工具可以扩展声学库,并使蝙蝠通信中的新研究假设成为可能.
- 这项工作提高了蝙蝠生物声学研究的能力.
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