Department of Collective Behaviour, Max Planck Institute of Animal Behavior, D-78457 Konstanz, Germany.
Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Universitätsstraße 10, D-78457 Konstanz, Germany.
Philos Trans R Soc Lond B Biol Sci. 2020 Jul 6;375(1802):20190479. doi: 10.1098/rstb.2019.0479. Epub 2020 May 18.
Individual vocal recognition (IVR) has been well studied in mammals and birds. These studies have primarily delved into understanding IVR in specific limited contexts (e.g. parent-offspring and mate recognition) where individuals discriminate one individual from all others. However, little research has examined IVR in more socially demanding circumstances, such as when an individual discriminates all individuals in their social or familial group apart. In this review, we describe what IVR is and suggest splitting studies of IVR into two general types based on what questions they answer (IVR-singular, and IVR-multiple). We explain how we currently test for IVR, and many of the benefits and drawbacks of different methods. We address why IVR is so prevalent in the animal kingdom, and the circumstances in which it is often found. Finally, we explain current weaknesses in IVR research including temporality, specificity, and taxonomic bias, and testing paradigms, and provide some solutions to address these weaknesses. This article is part of the theme issue 'Signal detection theory in recognition systems: from evolving models to experimental tests'.
个体声音识别（IVR）在哺乳动物和鸟类中已有深入研究。这些研究主要侧重于理解特定有限情境下的 IVR（例如亲代-后代和配偶识别），在这些情境中，个体从所有其他个体中区分出一个个体。然而，很少有研究在更具社交要求的情况下检查 IVR，例如当个体区分其社交或家族群体中的所有个体时。在这篇综述中，我们描述了什么是 IVR，并根据它们回答的问题将 IVR 研究分为两种一般类型（IVR-单一和 IVR-多个）。我们解释了我们目前如何测试 IVR，以及不同方法的许多优点和缺点。我们探讨了为什么 IVR 在动物王国中如此普遍，以及它经常出现的情况。最后，我们解释了 IVR 研究中的当前弱点，包括时间性、特异性和分类学偏见，以及测试范式，并提供了一些解决这些弱点的方法。本文是主题为“识别系统中的信号检测理论：从演化模型到实验测试”的一部分。
