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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.

Ecological informatics
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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.

关键词:
蝙蝠 蝙蝠 蝙蝠 蝙蝠 在生物声学是一种生物声学.分类 分类 分类 分类.沟通电话号召活动超声波定位是指使用超声波定位.机器学习是机器学习.多变量统计的多变量统计.

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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.