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Visual classification of feral cat Felis silvestris catus vocalizations

机译:野猫大猩猩大猩猩发声的视觉分类

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摘要

Cat vocal behavior,in particular,the vocal and social behavior of feral cats,is poorly understood,as are the differences between feral and fully domestic cats.The relationship between feral cat social and vocal behavior is important because of the markedly different ecology of feral and domestic cats,and enhanced comprehension of the repertoire and potential information content of feral cat calls can provide both better understanding of the domestication and socialization process,and improved welfare for feral cats undergoing adoption.Previous studies have used conflicting classification schemes for cat vocalizations,often relying on onomatopoeic or popular descriptions of call types (e.g.,"miow").We studied the vocalizations of 13 unaltered domestic cats that complied with our behavioral definition used to distinguish feral cats from domestic.A total of 71 acoustic units were extracted and visually analyzed for the construction of a hierarchical classification of vocal sounds,based on acoustic properties.We identified 3 major categories (tonal,pulse,and broadband) that further breakdown into 8 subcategories,and show a high degree of reliability when sounds are classified blindly by independent observers (Fleiss' Kappa K=0.863).Due to the limited behavioral contexts in this study,additional subcategories of cat vocalizations may be identified in the future,but our hierarchical classification system allows for the addition of new categories and new subcategories as they are described.This study shows that cat vocalizations are diverse and complex,and provides an objective and reliable classification system that can be used in future studies.
机译:猫的发声行为,尤其是野猫的发声和社交行为,以及野猫和完全家养猫之间的差异,人们对此知之甚少。由于野性的生态明显不同,野猫的社交和发声行为之间的关系很重要。以及家猫,以及对野猫电话的全部信息和潜在信息内容的增强理解,可以更好地了解驯化和社会化过程,并为正在被领养的野猫提高福利。经常依靠拟声词或通俗的呼叫类型描述(例如“喵”)。我们研究了13只未改变的家猫的发声,这些声音符合我们用来区分野猫和家猫的行为定义。总共提取了71个声学单元,根据以下内容进行视觉分析,以构建声音的分级分类声学特性。我们确定了3个主要类别(音调,脉冲和宽带),它们进一步细分为8个子类别,并且当声音被独立的观察者盲目分类时(Fleiss'Kappa K = 0.863),它们显示出高度的可靠性。由于这项研究的行为环境有限,因此将来可能会识别出猫发声的其他子类别,但是我们的分级分类系统允许添加新类别和描述的新子类别。这项研究表明,猫发声的方式是多样而复杂的,并提供可用于未来研究的客观可靠的分类系统。

著录项

  • 来源
    《动物学报(英文版)》 |2017年第3期|331-339|共9页
  • 作者单位

    Cooperative Predator Vocalization Consortium, South Daytona, FL, 32119;

    Department of Philosophy, Montana State University, Bozeman, MT, 59717;

    Department of Wildlife, Humboldt State University, Arcata, CA, 95521;

    Department of Philosophy, University of Nevada, Reno, NV, 89503, USA;

    Department of Zoology, University of Cambridge, Cambridge, CB2 3E J, UK;

    Department of Philosophy, Montana State University, Bozeman, MT, 59717;

  • 收录信息 北京大学中文核心期刊目录(北大核心);中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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